Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
DETAILED ACTION
1. This office action is responsive to arguments filed on 11/03/2025. Claims 21-40 are pending examination.
Claim Rejections - 35 USC § 101
2. 35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claims 21-40 are rejected under 35 U.S.C. 101 because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more.
Claim(s) 31 is/are drawn to method (i.e., a process), claim(s) 21, and 40 is/are drawn to a system (i.e., a machine/manufacture). As such, claims 21, 31, and 40 is/are drawn to one of the statutory categories of invention.
Claims 21-40 are directed to delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. Specifically, claim(s) 21, 31, and 40 recite(s) receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members; storing the data and the metadata; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content associated with the at least one segment, which is grouped within the Methods Of Organizing Human Activity and is similar to the concept of (commercial or legal interactions including agreements in the form of contracts, legal obligations, advertising, marketing or sales activities or behaviors business relations) and Mental Processes and is similar to the concept of (concepts performed in the human mind (including an observation, evaluation, judgement, opinion) grouping of abstract ideas in prong one of step 2A of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 52, 54 (January 7, 2019)). Accordingly, the claims recite an abstract idea (See pages 7, 10, Alice Corporation Pty. Ltd. v. CLS Bank International, et al., US Supreme Court, No. 13-298, June 19, 2014; 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 53-54 (January 7, 2019)).
The Claim limitations are listed under Methods Of Organizing Human Activity, and Mental Processes and grouped as following:
receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members; which is similar to the concept of (advertising, marketing or sales activities or behaviors business relations), and (concepts performed in the human mind (including an observation, evaluation, judgement, opinion),
storing the data and the metadata; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; which is similar to the concept of (advertising, marketing or sales activities or behaviors business relations), and (concepts performed in the human mind (including an observation, evaluation, judgement, opinion),
associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content associated with the at least one segment; which is similar to the concept of (advertising, marketing or sales activities or behaviors business relations), and (concepts performed in the human mind (including an observation, evaluation, judgement, opinion).
This judicial exception is not integrated into a practical application because, when analyzed under prong two of step 2A of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 54-55 (January 7, 2019)), the additional element(s) of the claim(s) such as user devices, database, cloud server, processor, memory device, database, third party servers, system merely use(s) a computer as a tool to perform an abstract idea and/or generally link(s) the use of a judicial exception to a particular technological environment. Specifically, the user devices, database, cloud server, processor, memory device, database, third party servers, system perform(s) the steps or functions of receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members; storing the data and the metadata; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content associated with the at least one segment. The use of a processor/computer as a tool to implement the abstract idea and/or generally linking the use of the abstract idea to a particular technological environment does not integrate the abstract idea into a practical application because it requires no more than a computer performing functions that correspond to acts required to carry out the abstract idea. The additional elements do not involve improvements to the functioning of a computer, or to any other technology or technical field (MPEP 2106.05(a)), the claims do not apply or use the abstract idea to effect a particular treatment or prophylaxis for a disease or medical condition (Vanda Memo), the claims do not apply the abstract idea with, or by use of, a particular machine (MPEP 2106.05(b)), the claims do not effect a transformation or reduction of a particular article to a different state or thing (MPEP 2106.05(c)), and the claims do not apply or use the abstract idea in some other meaningful way beyond generally linking the use of the abstract idea to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception (MPEP 2106.05(e) and Vanda Memo). Therefore, the claims do not, for example, purport to improve the functioning of a computer. Nor do they effect an improvement in any other technology or technical field. Accordingly, the additional elements do not impose any meaningful limits on practicing the abstract idea, and the claims are directed to an abstract idea.
The claim(s) does/do not include additional elements that are sufficient to amount to significantly more than the judicial exception because, when analyzed under step 2B of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 52, 56 (January 7, 2019)), the additional element(s) of using a user devices, database, cloud server, processor, memory device, database, third party servers, system to perform the steps amounts to no more than using a computer or processor to automate and/or implement the abstract idea of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. As discussed above, taking the claim elements separately, the user devices, database, cloud server, processor, memory device, database, third party servers, system perform(s) the steps or functions of receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members; storing the data and the metadata; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content associated with the at least one segment. These functions correspond to the actions required to perform the abstract idea. Viewed as a whole, the combination of elements recited in the claims merely recite the concept of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. Therefore, the use of these additional elements does no more than employ the computer as a tool to automate and/or implement the abstract idea. The use of a computer or processor to merely automate and/or implement the abstract idea cannot provide significantly more than the abstract idea itself (MPEP 2106.05(I)(A)(f) & (h)). Therefore, the claim is not patent eligible.
As for dependent claims 22-30, and 32-39 further describe the abstract idea of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. Claim(s) 22-30, and 32-39 does/do not include additional elements that are sufficient to amount to significantly more than the judicial exception because, when analyzed under step 2B of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 52, 56 (January 7, 2019)), the additional element(s) of using a system, processor, computing devices, mobile devices, network, network servers and third-party servers, cloud platform to perform the steps amounts to no more than using a computer or processor to automate and/or implement the abstract idea of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. As discussed above, taking the claim elements separately, the system, processor, computing devices, mobile devices, network, network servers and third-party servers, cloud platform perform(s) the steps or functions of periodically receiving updated data and metadata associated with the population, the updated data and metadata being received from at least two communication channels, emails, text messages, or calls; updating the filtered dataset based on the updated data and metadata; wherein: the consumer data comprises at least one of a consumer login, a consumer identification, consumer credentials, consumer demographics, or motivational interests; the media usage data comprises information about types of media consumers use; the channel preferences data comprises types of communications; and generating the filtered dataset comprises comparing sets of paired comparisons associated with rankings before uploading the filtered dataset; wherein: the content comprises promotional content including at least one of a banner ad, an animation, an overlay video, audio, a graphical display, or an alert; the consumer data comprises at least one of data from a third-party server, an authentication timestamp, or an access point location; wherein: receiving the data and metadata comprises at least one of: compiling information from a third-party regarding at least one of consumers or users; transmitting one or more surveys to the one or more user devices through multiple channels; or receiving packeted data from the one or more surveys; and generating the plurality of profiles comprises: analyzing the data and the metadata associated with a member from the multiple members to determine the value preferences; determining relative strengths of the value preferences by analyzing the packeted data using a probability model; ranking the value preferences based on relevance; and analyzing data and metadata associated with a member from the multiple members to identify the value gaps; wherein configured to perform operations comprising: after the delivering of the content, receiving additional data and metadata associated with the multiple members; and performing a modeling calibration of the predictive model, the modeling calibration comprising adjusting the ranking of the value preferences and the value gaps based on the additional data and metadata; wherein: generating the plurality of profiles further comprises utilizing a latent variable model to determine intervals of the value preferences and the value gaps; associating the plurality of profiles with segments comprises clustering the multiple members based on the data in the plurality of profiles, clustering the multiple members comprising classifying the multiple members in at least one group based on demographic and psychographic data, the psychographic data comprising behavioral information and product experience; and employing the intervals to rank the value preferences; wherein the generating the plurality of profiles comprises: determining primary attributes for the plurality of profiles, the primary attributes comprising personal values and personal consequences; and associating secondary attributes to the primary attributes, the secondary attributes comprising data associated with the member; wherein using the predictive model to identify the content comprises: receiving from a controller the content, the content comprising content metadata and at least one of audio, graphical display, or interactive user interfaces; identify, using the predictive model and based on the content metadata, a segment from the multiple members for delivery of the content; wherein: the database is connected, providing at least a portion of the consumer data, the usage data, and the channel data; aggregates the data and metadata; associates each of the multiple members to an identification; delivering the content comprises delivering the content using configured to deliver content stored in the database at a predefined schedule. These functions correspond to the actions required to perform the abstract idea. Viewed as a whole, the combination of elements recited in the claims merely recite the concept of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. Therefore, the use of these additional elements does no more than employ the computer as a tool to automate and/or implement the abstract idea. The use of a computer or processor to merely automate and/or implement the abstract idea cannot provide significantly more than the abstract idea itself (MPEP 2106.05(I)(A)(f) & (h)). Therefore, the claim is not patent eligible.
Prior Art
3. As for the response submitted on 11/03/2025, the Office is unaware of any references that teach the combination of limitations found in the claims of:
delivering content to an identified population segment by receiving data and metadata associated to a population comprising multiple members, generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps and using a predictive model to identify content for delivery to the profiles associated with at least one of the segments.
In reference to independent claims 21, 31, and 40, the Office is unaware of any references that teach, individually or without an unreasonable combination of references, the combination of limitations steps found in the claims, the most relevant prior art identified by the Examiner is 20130003993. It teaches identifiable boundaries between segments and the segments are relatively short in duration, and configuration data (e.g., channel content-type metadata for each received channel that is transmitted in-band or out-of-band with respect to the received signal, or stored at the receiver but does not teach the idea of the combination of limitations receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members being related to one or more user devices; storing the data and the metadata in a database; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content to one or more of the user devices associated with the at least one segment. However, it lacks the combination of claimed elements as claimed by the independent claims.
The second most relevant prior art identified by the Examiner is JP2016522624A. It teaches access by multiple consumer devices such as display device 100 and digital media receiver 200, segments, the duration can be, for example, data within 3 hours, while channels can be defined by multiple ranges, alphabetic channel associations or program packages. Good. The EPG data 232 can be acquired and expanded as needed, or the display device 100 / digital media receiver 200 stores a sliding window of EPG data and creates new ones when they are available but does not teach receiving data and metadata associated to a population comprising multiple members, generating a plurality of profiles associated with the multiple members using the filtered dataset and plurality of profiles comprising at least one vector representing value preferences and value gaps and using a predictive model to identify content for delivery to the profiles associated with at least one of the segments. However, it lacks the combination of claimed elements as claimed by the independent claims.
The third most relevant prior art identified by the Examiner is JP2016522624A. It teaches metadata may include other types of data. The metadata may include, for example, commands that metadata may include, for example, a directory that indicates segments of on-demand media, a directory of some approaches, the metadata may be used as markers content may include a number of segments (e.g., actor music videos, or any other suitable segment). The segments may be provided along with the actual movie or provide a menu that indicates the segments and allows the user to jump directly to the segment based on the metadata but does not teach combining profiles with segments, and delivering content to an identified population segment by receiving data and metadata with multiple members, and generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps and using a predictive model to identify content for delivery to the profiles associated with at least one of the segments.
Examiner note: none of the references or combined references teach the combination of limitations of claim 21, 31, and 40or no reference found that would teaches the combination of limitations of claim 21, 31, and 40, especially claim limitations: delivering content to an identified population segment by receiving data and metadata associated to a population comprising multiple members, generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps and using a predictive model to identify content for delivery to the profiles associated with at least one of the segments, and which is an idea of a system including a processor may filter a population to identify a group having members, and deliver, over an electronic network, a survey to members of the group to determine value preferences and value gaps . The survey may be made according to a set of paired comparisons or other related techniques. The system may generate vectors according to the determined value preferences and value gaps for members of the group, which may have lengths equal to numbers of determined values for the members. The system may cluster members of the group into segments by calculating patterns of differences between generated vectors. Results of this process enable the creation of a predictive model to estimate segment membership, which can be used in the generation of a promotion for display corresponding to a clustered segment, and deliver the promotion to a client device associated for display.
When taken as a whole, the claims are not rendered obvious as the available prior art does not suggest or otherwise render obvious the noted features nor does the available prior art suggest or otherwise render obvious further modification of the evidence at hand. Such modifications would require substantial reconstruction relying solely on improper hindsight bias, and thus would not be obvious. Therefore, the prior art rejection has been withdrawn.
NPL Reference
4. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. The NPL “Segmenting the Market to Reach the Targeted Population” describes “Suppose you're trying to put together a social marketing campaign to reduce youth violence in your community. A lot of people are going to have to change their behavior for that to happen: Gang members and other youth who engage in violence are going to have to find other ways to settle disputes and to solve problems, and to choose to use them. Non-violent youth may need to learn to practice behaviors less likely to make them victims. Teachers, policemen, and others who deal with youth may have to change their approaches. Adults in general may have to pay more attention to young people. Community residents may have to make it a point to be on the streets more, especially at night. Parents may have to change the ways they discipline their children, or even change their own attitudes about violence, and their own violent or violence-accepting behavior. In addition, some of these people may welcome the opportunity to change, and others may resist it. Others may not even be aware that youth violence is a community problem. You might conduct your violence reduction campaign with a single message, delivered through a particular channel - let's say a TV campaign. But each of these groups may need a different approach to be convinced to change in ways that will affect the issue. Each of these groups is a different segment of the market. If you were selling them cars instead of promoting violence reduction, you'd do market research to find what each of them wanted in a vehicle, and then gear your ad campaign to convince them that they'd get it if they bought what you were selling.”.
Pertinent Art
5. The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Reference# 20120005053 teaches similar invention which describes comprehensive and holistic behavior-based customer segmentation and customer profiling based on the segmentation. In specific embodiments of the invention, the segmentation includes internal credit behavior segmentation and external credit segmentation. In other embodiments, the segmentation includes internal credit behavior segmentation and external credit segmentation, and spend preference segmentation. In still further embodiments any combination of behavior algorithms may be implemented to segment the customer base and determine a related customer profile. The application additionally provides for new behavior algorithms to be added as needed in the future and the ability to interface with existing/legacy segmentation applications.
Response to Arguments
6. Applicant's arguments filed 11/03/2025 have been fully considered but they are not persuasive.
A. Applicant argues that the claims are not directed to a judicial exception under Step 2A Prong One. Examiner respectfully disagrees. As for Step 2A Prong One, of the Abstract idea is directed towards the abstract idea of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device which is grouped within the Methods Of Organizing Human Activity and is similar to the concept of (commercial or legal interactions including agreements in the form of contracts, legal obligations, advertising, marketing or sales activities or behaviors business relations) grouping of abstract ideas in prong one of step 2A of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 52, 54 (January 7, 2019)). Accordingly, the claims recite an abstract idea (See pages 7, 10, Alice Corporation Pty. Ltd. v. CLS Bank International, et al., US Supreme Court, No. 13-298, June 19, 2014; 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 53-54 (January 7, 2019)), (MPEP § 2106.04).
B. Applicant argues that the application should be found patent eligible because likeExample 39 of the USPTO's subject matter eligibility guidance, the claims of the subjectapplication do not recite a judicial exception.
The Examiner respectfully disagrees. Example 39 was found eligible because it was directed to a technique for training a neural network on how to make a facial detection. In contrast, the instant Application does not train a neural network for facial detection. It is involved in data filtering and delivering content based on data and metadata received.
C. Applicant argues that the claims are not directed to a judicial exception under Step 2A Prong Two. Examiner respectfully disagrees. As for Step 2A Prong Two, the claim limitations do not include additional elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, and the claim is not more than a drafting effort designed to monopolize the judicial exception and the claim limitation simply describe the abstract idea. The limitation directed to delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device does not add technical improvement to the abstract idea. The recitations to “user devices, database, cloud server, processor, memory device, database, third party servers, system” perform(s) the steps or functions of receiving data and metadata associated to a population comprising multiple members, the data comprising consumer data, the metadata comprising media usage data and channel data, each of the multiple members; storing the data and the metadata; generating a filtered dataset by filtering the data and the metadata; generating a plurality of profiles associated with the multiple members using the filtered dataset, each of the plurality of profiles comprising at least one vector representing value preferences and value gaps; associating each of the plurality of profiles with at least one segment; using a predictive model to identify content for delivery to the profiles associated with at least one of the segments; and delivering the content to the at least one segment by delivering the content associated with the at least one segment. The use of a processor/computer as a tool to implement the abstract idea and/or generally linking the use of the abstract idea to a particular technological environment does not integrate the abstract idea into a practical application because it requires no more than a computer performing functions that correspond to acts required to carry out the abstract idea. The additional elements do not involve improvements to the functioning of a computer, or to any other technology or technical field (MPEP 2106.05(a)), the claims do not apply or use the abstract idea to effect a particular treatment or prophylaxis for a disease or medical condition (Vanda Memo), the claims do not apply the abstract idea with, or by use of, a particular machine (MPEP 2106.05(b)), the claims do not effect a transformation or reduction of a particular article to a different state or thing (MPEP 2106.05(c)), and the claims do not apply or use the abstract idea in some other meaningful way beyond generally linking the use of the abstract idea to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception (MPEP 2106.05(e) and Vanda Memo). Therefore, the claims do not, for example, purport to improve the functioning of a computer. Nor do they effect an improvement in any other technology or technical field. Accordingly, the additional elements do not impose any meaningful limits on practicing the abstract idea, and the claims are directed to an abstract idea.
D. Applicant argues that the claims are not directed to a judicial exception under Step 2B.
Examiner respectfully disagrees. As for Step 2B, The claim(s) does/do not include additional elements that are sufficient to amount to significantly more than the judicial exception because, when analyzed under step 2B of the Alice/Mayo test (See 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 52, 56 (January 7, 2019)), the limitation directed to delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device does not add significantly more to the abstract idea. Furthermore, using well-known computer functions to execute an abstract idea does not constitute significantly more. The recitations to “user devices, database, cloud server, processor, memory device, database, third party servers, system” are generically recited computer structure. These functions correspond to the actions required to perform the abstract idea. Viewed as a whole, the combination of elements recited in the claims merely recite the concept of delivering content to an identified population segment by receiving data and metadata associated to population that has multiple members and has consumer data with media usage data and channel data and deliver the content to the segment displayed on a user device. Therefore, the use of these additional elements does no more than employ the computer as a tool to automate and/or implement the abstract idea. The use of a computer or processor to merely automate and/or implement the abstract idea cannot provide significantly more than the abstract idea itself (MPEP 2106.05(I)(A)(f) & (h)). Therefore, the claim is not patent eligible.
THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a).
A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to TAREK ELCHANTI whose telephone number is (571) 272-9638. The examiner can normally be reached on Flex Mon - Thur 7-7:00 and Fri 7-4:00.
Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice.
If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Waseem Ashraf can be reached on (571) 270-3948. The fax phone number for the organization where this application or proceeding is assigned is (571) 273-8300.
Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000.
/TAREK ELCHANTI/Primary Examiner, Art Unit 3621B