DETAILED ACTION
This action is responsive to application filed on December 6th, 2022.
Claims 1~18 are examined.
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Information Disclosure Statement
The information disclosure statement (IDS) submitted on 12/06/22 is in compliance with the provisions of 37 CFR 1.97. Accordingly, the information disclosure statement is being considered by the examiner.
Claim Rejections - 35 USC § 102
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claims 1~4, 7~10, and 13~16 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Cui et al. hereinafter Cui (U.S 2022/0294656).
Regarding Claim 1,
Cui taught a method comprising
collecting, by an intelligent agent, a user activity data set, with the user activity data set including information indicative of current and historical scheduled activities for a first set of users [¶33, calendar data, global positioning system (GPS) data, directional data, and/or historical location trends];
determining, by a machine learning module, a content consumption schedule for the first set of users [¶44, based on the voice, schedule, and the historical usage data, predicting a time for a utilization of the application by the user equipment in relation to the scheduled meeting, and a location for the utilization of the application by the user equipment in relation to the scheduled meeting],
responsive to the determination of the content consumption schedule, receiving, by the intelligent agent, a set of content data, with the set of content data including information indicative of relevant information that will be utilized by the first set of users [¶63, edge node 208 can receive data from the UE 102 such as historical use of applications and content, and then send, via the cloud server 204, the predicted future location (e.g., 123 Airport Dr.) and/or predicted situation (e.g., wait for flight) to the edge node 402 for use at the time the user will be at that location; ¶44];
determining, by the intelligent agent, that a first user will perform a first action at a first point in time [¶63, predict one or more applications and/or one or more content files from the user's content that the user will most likely want or need to access at a destination (e.g., the airport)], and
sending, by the intelligent agent, the first set of content data to a first edge gateway at the first point in time [¶65, Fig. 4 example, at time t1, when the UE 102 is at/near the edge node 208, the display screen of the UE can display mobile applications and/or content that are of use to the UE 102 at that time (e.g., route guidance to the airport, books to read at the airport, travel itinerary, boarding pass, etc.). However, mobile applications and/or content that the user is predicted to use at/near the edge node 216 can be pre-positioned at the edge node 216 for access during his pitch time. Accordingly, once the edge node 216 is in communication with the UE 102, the edge node 216 can send the UE 102 a modification request to modify the screen (e.g., home screen) of the UE 102 at time t2 such that the content (e.g., the pitch) is more readily accessible for the user during the time of the pitch].
Regarding Claim 2,
Cui taught wherein the content consumption schedule for the first set of users includes information indicative of a plurality of time periods where at least one user of the first set of users accessed content during a scheduled activity [¶63, maintain historical usage data, profile data, and other data for the user of the UE 102. When the cloud server 204 receives the data from edge node 208, it can use the data to predict one or more applications and/or one or more content files from the user's content that the user will most likely want or need to access at a destination].
Regarding Claim 3,
Cui taught wherein the intelligent agent sends the first set of content data to an edge gateway that is physically close to a location in which the first set of users will perform the first action [¶34, a predicted situation can include a predicted type of location (e.g., conference room, home, airplane, hospital)].
Regarding Claim 4,
Cui taught wherein the intelligent agent sends the first set of content data to an edge gateway that is regularly accessed by the first set of users [¶34, a predicted situation can include a predicted type of location (e.g., home)].
Regarding Claims 7~10 and 13~16, the claims are similar in scope to claims 1~4 respectively and therefore, rejected under the same rationale.
Claim Rejections - 35 USC § 103
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claims 5, 6, 11, 12, 17, and 18 are rejected under 35 U.S.C. 103 as being unpatentable over Cui in view of Athas et al. hereinafter Athas (U.S 2015/0254557).
Regarding Claim 5,
Cui-Athas taught wherein the intelligent agent receives a set of recommended content for consumption by the first set of users from an origin content request server based, at least in part, upon a current location of the first set of users [¶38, the recommendation platform 101 processes content usage or access patterns to determine popularity data or traction for content items under specific contexts (e.g., location). The system 100 enables users to be able to receive contextual content suggestions by way of the recommendation platform 101].
Therefore, it would have been obvious to one of ordinary skill in the art before the effective filing date of the invention was made, to combine, Athas’s teaching with the teachings of Cui, because the combination would enable efficient content suggestion and discovery [Athas: ¶4].
Regarding Claim 6,
Cui-Athas taught the origin content request server acts as a proxy to receive the first set of content data and send it to a network of edge gateways [¶42, the proxy server 103 detects the access by the UEs 109 by, for instance, receiving requests from the proxy clients 111 to route communication traffic to the intended communication endpoints providing associated content items or links. In addition, the proxy server 103 can route return communication traffic from the communication endpoints to the any of the proxy clients 111 and/or UEs 109]. The rationale to combine as discussed in claim 5, applies here as well.
Regarding Claims 11, 12, 17, and 18, the claims are similar in scope to claims 5 and 6 respectively and therefore, rejected under the same rationale.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to HEE SOO KIM whose telephone number is (571)270-3229. The examiner can normally be reached M-F 9AM-5PM.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Nicholas Taylor can be reached on (571) 272-3889. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
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/HEE SOO KIM/Primary Examiner, Art Unit 2443