Prosecution Insights
Last updated: April 19, 2026
Application No. 17/812,429

SYSTEMS AND METHODS FOR USING MACHINE LEARNING MODELS TO ORGANIZE AND SELECT ACCESS-RESTRICTED COMPONENTS FOR USER INTERFACE TEMPLATES BASED ON CHARACTERISTICS OF ACCESS TOKEN TYPES

Non-Final OA §112§DP
Filed
Jul 13, 2022
Examiner
WENG, PEI YONG
Art Unit
2141
Tech Center
2100 — Computer Architecture & Software
Assignee
Capital One Services LLC
OA Round
1 (Non-Final)
79%
Grant Probability
Favorable
1-2
OA Rounds
3y 3m
To Grant
99%
With Interview

Examiner Intelligence

Grants 79% — above average
79%
Career Allow Rate
506 granted / 637 resolved
+24.4% vs TC avg
Strong +23% interview lift
Without
With
+23.1%
Interview Lift
resolved cases with interview
Typical timeline
3y 3m
Avg Prosecution
18 currently pending
Career history
655
Total Applications
across all art units

Statute-Specific Performance

§101
12.4%
-27.6% vs TC avg
§103
49.3%
+9.3% vs TC avg
§102
19.2%
-20.8% vs TC avg
§112
8.8%
-31.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 637 resolved cases

Office Action

§112 §DP
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 This action is responsive to the following communication: Non-Provisional Application filed Jul. 13, 2022. Claims 1-20 are pending in the case. Claims 1, 2 and 13 are independent claims. Claim Rejections - 35 USC § 112 Claims 1, 5, 6 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. Claim 1 recites the limitation " the user designation " in line 18. There is insufficient antecedent basis for this limitation in the claim. Claim 1 recites the limitation "at least one of the token use characteristic" in line 29. There is insufficient antecedent basis for this limitation in the claim. Claim 5 recites the limitation "the user profile" in line 2. There is insufficient antecedent basis for this limitation in the claim. The examiner notes that claim 4 recite “a user profile.” However, claim 5 depends from claim 2. Claim 6 depends from claim 5 and fail to remedy the deficiencies of claim 5, therefore, is also rejected. 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 obviousness-type 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 a nonstatutory double patenting ground provided the conflicting application or patent either is shown to be commonly owned with this application, or claims an invention made as a result of activities undertaken within the scope of a joint research agreement. Effective January 1, 1994, a registered attorney or agent of record may sign a terminal disclaimer. A terminal disclaimer signed by the assignee must fully comply with 37 CFR 3.73(b). Claim 1-20 are rejected as claiming the same invention as that of claim 1-19 of U.S. Patent No. 12,210,599. The subject matter claimed in the instant application is fully disclosed in U.S. Patent No. 12,210,599. Although the claims at issue are not identical, they are not patentably distinct from each other because claim. The difference between claim 1 of Instant Application No. 17/812,429 and U.S. Patent No. 12,210,599 is shown below. The examiner notes that “access token profile” is part of “user profile includes a user behavior characteristic.” The U.S. Patent No. 12,210,599 expressly indicates that user profile features are generated based on token access history. If the claims in Application No. 17/812,429 are allowed, it could improperly extend the “right to exclude” for the same invention in two different Patents. Instant Application No. 17/812,429 U.S. Patent No. 12,210,599 1. A system for using machine learning models to organize and select access-restricted components for user interface templates based on characteristics of access token types, the system comprising: cloud-based storage circuitry for: storing a plurality of access token profiles; and a machine learning model, wherein the machine learning model is trained to generate one or more user interface templates for accessing account content based on token use characteristics; cloud-based control circuitry for: receiving a request to access a user interface of an account with a first access token, wherein the first access token comprises an access privilege, a user profile designation, an account designation, and an access time period, wherein the access privilege indicates a privilege granted by the first access token for the account, wherein the user designation indicates a user to which the privilege is granted, wherein the account designation identifies the account for which the privilege is granted, and wherein the access time period indicates a time period during which the first access token grants access to the user for the account; determining a token type of the first access token from a plurality of token types; retrieving an access token profile from the plurality of access token profiles based on the token type, wherein the access token profile includes at least one of the token use characteristic indicating a likely use of access tokens of the token type; determining accessible content of the account based on the first access token; generating a first feature input based on the token use characteristic and the accessible content; inputting the first feature input into the machine learning model; and receiving from the machine learning model a first output, wherein the first output indicates a recommended user interface template for accessing the account with the first access token, and wherein the recommended user interface template comprises a recommended selection and organization of user input fields and/or user interface pages; and cloud-based input/output circuitry for generating for display, on a user device, the user interface with the recommended user interface template in response to the user accessing the user interface with the first access token during the access time period. 1. A system for using machine learning models to organize and select access-restricted components accessed using user-specific access tokens with variable properties, the system comprising: cloud-based storage circuitry for: storing a plurality of access token profiles; and a machine learning model, wherein the machine learning model is trained to generate one or more user interface templates for accessing account content based on user behavior characteristics; cloud-based control circuitry for: receiving, from a user, a request to access a user interface of an account with a first access token, wherein the first access token comprises an access privilege, a user profile designation, an account designation, and an access time period, wherein the access privilege indicates a privilege granted by the first access token for the account, wherein the user profile designation indicates a user to which the privilege is granted, wherein the account designation identifies the account for which the privilege is granted, and wherein the access time period indicates a time period during which the first access token grants access to the user for the account; retrieving a user profile corresponding to the user, wherein the user profile includes a user behavior characteristic, wherein the user behavior characteristic indicates a likely user behavior when the access privilege is used to interact with the user interface; determining accessible content of the account based on the first access token; generating a first feature input based on the user profile and the accessible content; inputting the first feature input into the machine learning model, wherein the machine learning model is trained to generate the one or more user interface templates for accessing the accessible content based on the user behavior characteristic; receiving, from the machine learning model, a first output indicating a recommended user interface template for accessing the account with the first access token, and wherein the recommended user interface template comprises a recommended selection and organization of user input fields and/or user interface pages; and cloud-based input/output circuitry for generating, for display on a user device, the user interface with the recommended user interface template in response to the user accessing the user interface with the first access token during the access time period. Independent Claims 2 and 13 are similar to claims 2 and 11 of U.S. Patent No. 12,210,599. Dependent Claims 3-12 and 14-20 are similar to claims 3-10 and 12-19 U.S. Patent No. 12,210,599. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to PEIYONG WENG whose telephone number is (571)270-1660. The examiner can normally be reached on Mon.-Fri. 8 am to 5 pm. If attempts to reach the examiner by telephone are unsuccessful, the examiner's supervisor, Matthew Ell, can be reached on (571) 270-3264. 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://portal.uspto.gov/external/portal. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /PEI YONG WENG/Primary Examiner, Art Unit 2141
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Prosecution Timeline

Jul 13, 2022
Application Filed
Apr 06, 2026
Non-Final Rejection — §112, §DP (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
79%
Grant Probability
99%
With Interview (+23.1%)
3y 3m
Median Time to Grant
Low
PTA Risk
Based on 637 resolved cases by this examiner. Grant probability derived from career allow rate.

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