DETAILED ACTION
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . The application has been examined. Claims 1-20 are pending.
Information Disclosure Statement
The information disclosure statement (IDS) submitted on 11/13/2024. The submission is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner.
Allowable Subject Matter
Claims 1-20 are objected as being allowable if claims overcome the Obviousness Double Patenting Rejection and Claim Objections.
Double Patenting
The nonstatutory double patenting rejection is based on a judicially created doctrine grounded in public policy (a policy reflected in the statute) so as to prevent the unjustified or improper timewise extension of the “right to exclude” granted by a patent and to prevent possible harassment by multiple assignees. A nonstatutory double patenting rejection is appropriate where the conflicting claims are not identical, but at least one examined application claim is not patentably distinct from the reference claim(s) because the examined application claim is either anticipated by, or would have been obvious over, the reference claim(s). See, e.g., In re Berg, 140 F.3d 1428, 46 USPQ2d 1226 (Fed. Cir. 1998); In re Goodman, 11 F.3d 1046, 29 USPQ2d 2010 (Fed. Cir. 1993); In re Longi, 759 F.2d 887, 225 USPQ 645 (Fed. Cir. 1985); In re Van Ornum, 686 F.2d 937, 214 USPQ 761 (CCPA 1982); In re Vogel, 422 F.2d 438, 164 USPQ 619 (CCPA 1970); and In re Thorington, 418 F.2d 528, 163 USPQ 644 (CCPA 1969).
A timely filed terminal disclaimer in compliance with 37 CFR 1.321(c) or 1.321(d) may be used to overcome an actual or provisional rejection based on nonstatutory double patenting provided the reference application or patent either is shown to be commonly owned with the examined application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. See MPEP § 717.02 for applications subject to examination under the first inventor to file provisions of the AIA as explained in MPEP § 2159. See MPEP §§ 706.02(l)(1) - 706.02(l)(3) for applications not subject to examination under the first inventor to file provisions of the AIA . A terminal disclaimer must be signed in compliance with 37 CFR 1.321(b).
The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/forms/. The filing date of the application in which the form is filed determines what form (e.g., PTO/SB/25, PTO/SB/26, PTO/AIA /25, or PTO/AIA /26) should be used. A web-based eTerminal Disclaimer may be filled out completely online using web-screens. An eTerminal Disclaimer that meets all requirements is auto-processed and approved immediately upon submission. For more information about eTerminal Disclaimers, refer to http://www.uspto.gov/patents/process/file/efs/guidance/eTD-info-I.jsp.
Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-20 of the U.S. Patent No. 11,082,529. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claims 1-20 of the instant application and claims 1-20 of the U.S. Patent No. 11,082,529 is that the claims of the instant application discloses the scope of the invention to be broader than to the scope of the U.S. Patent No. 11,082,529.
Claim 1 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 1 of the U.S. Patent No. 11,082,529. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 1 of the instant application and claim 1 of the U.S. Patent No. 11,082,529 is that the claims of the instant application discloses are broader to the claims of the U.S. Patent No. 11,082,529.
Claim 8 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 16 of the U.S. Patent No. 11,082,529. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 8 of the instant application and claim 16 of the U.S. Patent No. 11,082,529 is that the claims of the instant application discloses the non-transitory computer-readable medium implementing the method steps which are broader to the non-transitory computer-readable medium implementing the method steps of the U.S. Patent No. 11,082,529.
Claim 15 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 14 of the U.S. Patent No. 11,082,529. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 15 of the instant application and claim 14 of the U.S. Patent No. 11,082,529 is that the claims of the instant application discloses the method steps which are broader to the method steps of the U.S. Patent No. 11,082,529.
Claims Comparison Table
Instant Application:
18/923,556
U.S. Patent No. 11,082,529 B2
(common inventive entity and assignee)
Claim 1:
A network system for managing a network-based service, comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to perform operations that include:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of the network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device
Claim 1:
A network system for managing a network-based service, comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to: generate, based on a set of historical data associated with the network-based service, a machine-learned optimization model for generating action recommendations for service providers of the network-based service; determine, based on a current location of a service provider and the machine-learned optimization model, one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service; transmit, to a provider device of the service provider, a set of data to cause the provider device to display information regarding the determined one or more action recommendations for the service provider; and wherein the one or more action recommendations includes: (i) a recommended direction of travel for the service provider while the service provider is traveling on an off-service segment, and (ii) a recommendation for the service provider to enter an offline state with respect to the network-based service.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 8:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; and wherein the real-time parameter as an input to the machine-learned optimization model to determine the one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 3:
The network system of claim 1, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 4:
The network system of claim 1, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 5:
The network system of claim 1, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 6:
The network system of claim 5, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 7:
The network system of claim 5, wherein the route is based on the current location of the service provider, map data and traffic.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 8:
A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state,
determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period, wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 16:
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a network system, cause the network system to:
generate, based on a set of historical data associated with a network-based service, a machine-learned optimization model for generating action recommendations for service providers of the network-based service; determine, based on a current location of a service provider and the machine-learned optimization model, one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service; transmit, to a provider device of the service provider, a set of data to cause the provider device to display information regarding the determined one or more action recommendations for the service provider; and wherein the one or more action recommendations includes: (i) a recommended direction of travel for the service provider while the service provider is traveling on an off-service segment, and (ii) a recommendation for the service provider to enter an offline state with respect to the network-based service.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 8:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; and wherein the real-time parameter as an input to the machine-learned optimization model to determine the one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 10:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 11:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 11:
The network system of claim 1, wherein the one or more estimated service metrics includes one or more of the following service metrics for the service provider in fulfilling requests for the network-based service over a future period of time: (i) expected fares, (ii) expected wait times, or (iii) expected travel distances.
Claim 12:
The non-transitory computer-readable medium of claim 8, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 13:
The non-transitory computer-readable medium of claim 12, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 14:
The non-transitory computer-readable medium of claim 12, wherein the route is based on the current location of the service provider, map data and traffic.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 15:
A computer-implemented method comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 14:
A computer-implemented method comprising: generating, based on a set of historical data associated with a network-based service, a machine-learned optimization model for generating action recommendations for service providers of the network-based service; determining, based on a current location of a service provider and the machine-learned optimization model, one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service; transmitting, to a provider device of the service provider, a set of data to cause the provider device to display information regarding the determined one or more action recommendations for the service provider; and wherein the one or more action recommendations includes: (i) a recommended direction of travel for the service provider while the service provider is traveling on an off-service segment, and (ii) a recommendation for the service provider to enter an offline state with respect to the network-based service.
Claim 8:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; and wherein the real-time parameter as an input to the machine-learned optimization model to determine the one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service.
Claim 17:
The method of claim 15, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 18:
The computer-implemented method of claim 14, wherein the one or more action recommendations further includes a recommendation for the service provider to travel to a pre-determined waiting area for waiting for an invitation to fulfill a service request.
Claim 18:
The method of claim 15, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 14:
A computer-implemented method comprising: generating, based on a set of historical data associated with a network-based service, a machine-learned optimization model for generating action recommendations for service providers of the network-based service; determining, based on a current location of a service provider and the machine-learned optimization model, one or more action recommendations for optimizing one or more estimated service metrics for the service provider in fulfilling one or more service requests of the network-based service; transmitting, to a provider device of the service provider, a set of data to cause the provider device to display information regarding the determined one or more action recommendations for the service provider; and wherein the one or more action recommendations includes: (i) a recommended direction of travel for the service provider while the service provider is traveling on an off-service segment, and (ii) a recommendation for the service provider to enter an offline state with respect to the network-based service.
Claim 19:
The method of claim 15, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claim 20:
The method of claim 19, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow, the route being based on the current location of the service provider, the map data and traffic.
Claim 2:
The network system of claim 1, wherein the recommended direction of travel is defined as an angle of travel with respect to a reference direction; wherein the executed instructions further cause the network system to generate, based on the angle of travel with respect to the reference direction and the current location of the service provider, navigation instructions for the service provider; and wherein the information displayed on the provider device regarding the determined one or more action recommendations for the service provider correspond to the navigation instructions.
Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-20 of the U.S. Patent No. 12,021,947. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claims 1-20 of the instant application and claims 1-20 of the U.S. Patent No. 12,021,947 is that the claims of the instant application discloses the scope of the invention to be broader than to the scope of the U.S. Patent No. 12,021,947.
Claim 1 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 1 of the U.S. Patent No. 12,021,947. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 1 of the instant application and claim 1 of the U.S. Patent No. 12,021,947 is that the claims of the instant application discloses are broader to the claims of the U.S. Patent No. 12,021,947.
Claim 8 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 10 of the U.S. Patent No. 12,021,947. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 8 of the instant application and claim 10 of the U.S. Patent No. 12,021,947 is that the claims of the instant application discloses the non-transitory computer-readable medium implementing the method steps which are broader to the non-transitory computer-readable medium implementing the method steps of the U.S. Patent No. 12,021,947.
Claim 15 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 18 of the U.S. Patent No. 12,021,947. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 15 of the instant application and claim 18 of the U.S. Patent No. 12,021,947 is that the claims of the instant application discloses the method steps which are broader to the method steps of the U.S. Patent No. 12,021,947.
Claims Comparison Table
Instant Application:
18/923,556
U.S. Patent No. 12,021,947 B2
(common inventive entity and assignee)
Claim 1:
A network system for managing a network-based service, comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to perform operations that include:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of the network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device
Claim 1:
A network system for managing a network-based service, comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to: generate, based at least in part on a set of historical data associated with the network-based service, an optimization model for generating action recommendations for service providers of the network-based service; receive location data from a provider device of a service provider, the location data indicating a current location of the provider device; execute the optimization model using at least the location data to determine one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; and transmit, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 5:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 9:
The network system of claim 1, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 2:
The network system of claim 1, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 3:
The network system of claim 1, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 4:
The network system of claim 1, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 5:
The network system of claim 1, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 6:
The network system of claim 5, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 8:
The network system of claim 7, wherein the direction of travel is presented as navigation instructions presented on a user interface of the provider device.
Claim 8:
A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state,
determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period, wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 10:
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a network system, cause the network system to: generate, based at least in part on a set of historical data associated with a network-based service, an optimization model for generating action recommendations for service providers of the network-based service; receive location data from a provider device of a service provider, the location data indicating a current location of the provider device; execute the optimization model using at least the location data to determine one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; and transmit, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 14:
The non-transitory computer-readable medium of claim 10, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 16:
The non-transitory computer-readable medium of claim 10, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 9:
The network system of claim 1, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 9:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 13:
The non-transitory computer-readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 10:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 13:
The non-transitory computer-readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 11:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 13:
The non-transitory computer-readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 12:
The non-transitory computer-readable medium of claim 8, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 16:
The non-transitory computer-readable medium of claim 10, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 13:
The non-transitory computer-readable medium of claim 12, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 17:
The non-transitory computer-readable medium of claim 16, wherein the direction of travel is presented as navigation instructions presented on a user interface of the provider device.
Claim 15:
A computer-implemented method comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 18:
A computer-implemented method of managing a network-based service, the method being performed by one or more processors and comprising: generating, based at least in part on a set of historical data associated with the network-based service, an optimization model for generating action recommendations for service providers of the network-based service; receiving location data from a provider device of a service provider, the location data indicating a current location of the provider device; executing the optimization model using at least the location data to determine one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; and transmitting, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 20:
The method of claim 18, further comprising: determining a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 9:
The network system of claim 1, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 16:
The method of claim 15, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 19:
The method of claim 18, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 17:
The method of claim 15, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 19:
The method of claim 18, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 18:
The method of claim 15, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 19:
The method of claim 18, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 19:
The method of claim 15, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claims 1-20 are rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claims 1-20 of the U.S. Patent No. 12,219,033. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claims 1-20 of the instant application and claims 1-20 of the U.S. Patent No. 12,219,033 is that the claims of the instant application discloses the scope of the invention to be broader than to the scope of the U.S. Patent No. 12,219,033.
Claim 1 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 1 of the U.S. Patent No. 12,219,033. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 1 of the instant application and claim 1 of the U.S. Patent No. 12,219,033 is that the claims of the instant application discloses are broader to the claims of the U.S. Patent No. 12,219,033.
Claim 8 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 10 of the U.S. Patent No. 12,219,033. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 8 of the instant application and claim 10 of the U.S. Patent No. 12,219,033 is that the claims of the instant application discloses the non-transitory computer-readable medium implementing the method steps which are broader to the non-transitory computer-readable medium implementing the method steps of the U.S. Patent No. 12,219,033.
Claim 15 is rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over claim 19 of the U.S. Patent No. 12,219,033. Although the conflicting claims are not identical, they are not patentably distinct from each other because the difference between claim 15 of the instant application and claim 19 of the U.S. Patent No. 12,219,033 is that the claims of the instant application discloses the method steps which are broader to the method steps of the U.S. Patent No. 12,219,033.
Claims Comparison Table
Instant Application:
18/923,556
U.S. Patent No. 12,219,033 B2
(common inventive entity and assignee)
Claim 1:
A network system for managing a network-based service, comprising:
one or more processors; and
one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to perform operations that include:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of the network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 1:
A network system for managing a network-based service, comprising: one or more processors; and one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to: receive location data from a provider device of a service provider, the location data indicating a current location of the provider device; using at least the location data in an optimization model, determine one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; wherein the optimization model is based at least in part on a set of historical data associated with the network-based service; and transmit, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 5:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 9:
The network system of claim 1, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 2:
The network system of claim 1, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 3:
The network system of claim 1, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 4:
The network system of claim 1, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 5:
The network system of claim 1, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 6:
The network system of claim 5, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 8:
The network system of claim 7, wherein the direction of travel is presented as navigation instructions presented on a user interface of the provider device.
Claim 8:
A non-transitory computer-readable medium that stores instructions, which when executed by one or more processors of a computer system, cause the computer system to perform operations comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state,
determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period, wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 10:
A non-transitory computer readable medium storing instructions that, when executed by one or more processors of a network system, cause the network system to: receive location data from a provider device of a service provider, the location data indicating a current location of the provider device; using at least the location data in an optimization model, determine one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; wherein the optimization model is based at least in part on a set of historical data associated with the network-based service; and transmit, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 14:
The non-transitory computer readable medium of claim 10, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 16:
The non-transitory computer readable medium of claim 10, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 18:
The non-transitory computer readable medium of claim 10, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 9:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 13:
The non-transitory computer readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 10:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 13:
The non-transitory computer readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 11:
The non-transitory computer-readable medium of claim 8, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 13:
The non-transitory computer readable medium of claim 10, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 12:
The non-transitory computer-readable medium of claim 8, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 16:
The non-transitory computer readable medium of claim 10, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 13:
The non-transitory computer-readable medium of claim 12, wherein the information relating to the multiple action recommendations includes map data that indicates the route for the service provider to follow.
Claim 17:
The non-transitory computer readable medium of claim 16, wherein the direction of travel is presented as navigation instructions presented on a user interface of the provider device.
Claim 15:
A computer-implemented method comprising:
determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period;
while a service provider of a network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period,
wherein determining the multiple action recommendations includes:
determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider;
determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location;
determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and
transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device.
Claim 19:
A computer-implemented method of optimizing transport, the method being performed by one or more processors and comprising: receiving location data from a provider device of a service provider, the location data indicating a current location of the provider device; using at least the location data in an optimization model, determining one or more actions for the service provider to optimize one or more metrics, the one or more metrics corresponding to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time; wherein the optimization model is based at least in part on a set of historical data associated with the network-based service; and transmitting, to the provider device of the service provider, a dataset to cause the provider device to display information corresponding to the one or more actions for the service provider.
Claim 5:
The network system of claim 1, wherein the executed instructions further cause the network system to: determine a real-time parameter based on one or more real-time conditions of the network-based service; wherein the real-time parameter comprises an input for the optimization model to determine the one or more actions for the service provider.
Claim 7:
The network system of claim 1, wherein the one or more actions correspond to a direction of travel for the service provider.
Claim 9:
The network system of claim 1, wherein the one or more actions comprise an action to enter an offline state with respect to the network-based service.
Claim 16:
The method of claim 15, wherein the one or more expected service metrics include earnings of the service provider over a period of time.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 17:
The method of claim 15, wherein the one or more expected service metrics include a wait time for the service provider to receive an invitation or a service request.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 18:
The method of claim 15, wherein the one or more expected service metrics include an expected travel distance or travel time for the service provider.
Claim 4:
The network system of claim 1, wherein the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings is specified by the service provider, and wherein the one or more actions are further determined based on the future period of time for the expected wait time, the expected travel distance, or the expected amount of earnings.
Claim 19:
The method of claim 15, wherein the action recommendation for the service provider to travel towards the particular location includes determining a route for the service provider to follow.
Claim 8:
The network system of claim 7, wherein the direction of travel is presented as navigation instructions presented on a user interface of the provider device.
Claim Objections
Claims 1, 5, 8, 12, 15, and 19 are objected to because of the following informalities: lack of terminology consistency
Claim 1, line 24, recites “to the one or more recommendations” and should be changed to -- to the multiple action recommendations --.
Similar changes are suggested for subsequent claims.
Claim 5, line 1, recites “wherein the action recommendation” and should be changed to -- wherein the action recommendation of the multiple action recommendations--.
Similar changes are suggested for subsequent claims.
Appropriate correction is required.
In interpreting the claims, in light of the specification, the Examiner finds the claimed invention to be patentable distinct from the prior art of records.
Dicker et al. (2017/0352125) discloses a network system for managing a network-based service, comprising: one or more processors; and one or more memory resources storing instructions that, when executed by the one or more processors of the network system, cause the network system to perform operations that include: determining, based on historical service data, one or more expected service metrics for future fulfillment of service requests of a geographic region over a time period.
However, the prior art of record fails to teach or suggest while a service provider of the network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period, wherein determining the multiple action recommendations includes: determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider; determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location; determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location; and transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device as set forth in independent Claim 1. The cited prior art does not teach or suggest while a service provider of the network-based service is in an offline state, determining multiple action recommendations for the service provider to perform to optimize the one or more expected service metrics over the time period. The cited art does not teach or suggest wherein determining the multiple action recommendations includes: determining a current location of the service provider based on provider location data transmitted by a service provider device of the service provider. The cited art does not teach or suggest determining one or more real-time parameters that reflect a condition of the network-based service in multiple locations of the geographic region that includes the current location. The cited art does not teach or suggest determining the multiple action recommendations based on the current location of the service provider and the one or more real-time parameters, the multiple action recommendations including an action recommendation for the service provider to exit the offline state, and an action recommendation for the service provider to travel towards a particular location. The cited art does not teach or suggest transmitting data to the service provider device to cause information relating to the one or more recommendations to be displayed by the service provider device. Thus, these are some of the reasons why the claims are allowable.
Similar limitations are present with independent claims 8 and 15. Therefore, Claims 1, 8, and 15 are allowed because of the combination of other limitations and the limitations listed above.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANDREW WOO whose telephone number is (571)270-7521. The examiner can normally be reached Telework 9:00AM-6:00PM | IFP M-F 9:00AM-6:00PM.
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/ANDREW WOO/Examiner, Art Unit 2441