Prosecution Insights
Last updated: May 29, 2026
Application No. 18/402,155

SYSTEMS AND METHODS FOR UPDATING LISTINGS

Non-Final OA §DOUBLEPATENT
Filed
Jan 02, 2024
Priority
Jan 28, 2020 — continuation of 10/706,452 +1 more
Examiner
ZIMMERMAN, MATTHEW E
Art Unit
3688
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Capital One Services LLC
OA Round
1 (Non-Final)
52%
Grant Probability
Moderate
1-2
OA Rounds
1y 3m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 52% of resolved cases
52%
Career Allowance Rate
292 granted / 565 resolved
At TC average
Strong +46% interview lift
Without
With
+46.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 8m
Avg Prosecution
16 currently pending
Career history
587
Total Applications
across all art units

Statute-Specific Performance

§101
33.3%
-6.7% vs TC avg
§103
46.6%
+6.6% vs TC avg
§102
12.0%
-28.0% vs TC avg
§112
6.8%
-33.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 565 resolved cases

Office Action

§DOUBLEPATENT
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 Status of Claims Claim(s) 21-40 have been examined. 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); 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 § 2146 et seq. 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 filing of a terminal disclaimer by itself is not a complete reply to a nonstatutory double patenting (NSDP) rejection. A complete reply requires that the terminal disclaimer be accompanied by a reply requesting reconsideration of the prior Office action. Even where the NSDP rejection is provisional the reply must be complete. See MPEP § 804, subsection I.B.1. For a reply to a non-final Office action, see 37 CFR 1.111(a). For a reply to final Office action, see 37 CFR 1.113(c). A request for reconsideration while not provided for in 37 CFR 1.113(c) may be filed after final for consideration. See MPEP §§ 706.07(e) and 714.13. The USPTO Internet website contains terminal disclaimer forms which may be used. Please visit www.uspto.gov/patent/patents-forms. The actual 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 www.uspto.gov/patents/apply/applying-online/eterminal-disclaimer. Claims 21-22, 24-32, 34-36, 38-40, are rejected on the ground of nonstatutory double patenting as being unpatentable over claims 1-18 of U.S. Patent No. 11,900,433. Although the claims at issue are not identical, they are not patentably distinct from each other because instant claim(s) 21-22, 24-32, 34-36, 38-40 fully “read-on” or are anticipated by reference claim(s) 1-18 of U.S. Patent No. 11,900,433. This is a non-statutory, obviousness-type Double Patenting rejection with an anticipation analysis. See MPEP 804(II)(B)(1). Remarks The prior art of record neither alone nor in combination anticipates nor renders obvious the present invention. The limitations in claim 21, 31, and 40 are not taught by the prior art include: determining the one or more parameters associated with the image quality for the received image comprises determining a degree of obstruction of the item in the received image, the determining the degree of obstruction further comprising using an object detection model based on a neural network architecture applied to the received image to detect a presence of obstructions; the neural network architecture divides the received image into a plurality of regions, predicts bounding boxes and probabilities of each region, and weighs the bounding boxes by the predicted probabilities; and the bounding boxes bound the item and the obstructions such that the object detection model detects the degree of obstruction. The most related prior art patent of record is Hao (US 10,467,507) which teaches creating an image listing and scoring an uploaded image for an item and the most related non-patent literature of record is Reference V (see PTO-892) which teaches using object detection models to detect obstructions in product listing images and updating the listing based on detection results. However, Hao and Reference U neither teach nor render obvious: determining the one or more parameters associated with the image quality for the received image comprises determining a degree of obstruction of the item in the received image, the determining the degree of obstruction further comprising using an object detection model based on a neural network architecture applied to the received image to detect a presence of obstructions; the neural network architecture divides the received image into a plurality of regions, predicts bounding boxes and probabilities of each region, and weighs the bounding boxes by the predicted probabilities; and the bounding boxes bound the item and the obstructions such that the object detection model detects the degree of obstruction. Additional prior art related to the invention but not relied upon includes: Reference U (see PTO-892) which teaches a neural network architecture that divides an image into a grid of regions, predicts bounding boxes and class probabilities for each region, weighs those bounding boxes by the predicted probabilities Chen (US 2019/0130583) teaches an overlapping area between two bounding boxes is determined and the bounding boxes are weighted by predicted probabilities. ZHOU (US 2019/0130191) teaches two bounding boxes and a degree of overlap between them and the bounding boxes are weighted by predicted probabilities. In regards to Chen and ZHOU and Reference U, while these references disclose bounding-box prediction with associated probabilities, they do so in the context of object tracking in a video analytics system which is directed to a different problem (tracking objects across video frames) than the problem addressed by the claimed invention (assessing still-image quality to update an item listing). A person of ordinary skill in the art would not have had a reason, absent impermissible hindsight, to extract the bounding-box technique from these references’ video-tracking context and combine it with Hao (which teaches the item listing) and Kanter (US 9,152,990) which teaches updating an item listing, to arrive at the claimed invention. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MATTHEW E ZIMMERMAN whose telephone number is (571)270-5278. The examiner can normally be reached 8-4pm M-T, 8-12pm W. 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, Jeff Smith can be reached at (571)272-6763. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MATTHEW E ZIMMERMAN/Primary Examiner, Art Unit 3688
Read full office action

Prosecution Timeline

Jan 02, 2024
Application Filed
Apr 22, 2026
Non-Final Rejection mailed — §DOUBLEPATENT (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12586123
SYSTEMS AND METHODS FOR PRODUCT ORDERING AND DELIVERY FOR INMATES
3y 8m to grant Granted Mar 24, 2026
Patent 12579566
METHOD, MEDIUM, AND SYSTEM FOR PERSONALIZED RECOMMENDATION OF RECIPES INCLUDING ITEMS OFFERED BY AN ONLINE CONCIERGE SYSTEM BASED ON EMBEDDINGS FOR A USER AND FOR STORED RECIPES
2y 9m to grant Granted Mar 17, 2026
Patent 12572969
METHOD, MEDIUM, AND SYSTEM FOR SURFACING RECOMMENDATIONS
3y 5m to grant Granted Mar 10, 2026
Patent 12572967
METHOD, MEDIUM, AND SYSTEM FOR VIRTUAL AGENTS TO HELP CUSTOMERS AND BUSINESSES
8m to grant Granted Mar 10, 2026
Patent 12488379
METHOD, MEDIUM, AND SYSTEM FOR FACILITATING PURCHASE OF OBJECTS
3y 0m to grant Granted Dec 02, 2025
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
52%
Grant Probability
98%
With Interview (+46.4%)
3y 8m (~1y 3m remaining)
Median Time to Grant
Low
PTA Risk
Based on 565 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month