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Recommendation Evaluation Device for Store Visit Likelihood

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Summary

USPTO published patent application US20260094174A1 by NTT DOCOMO, INC. The application discloses a recommendation evaluation device that derives visit likelihood evaluations for stores before and after recommendations are made to target users. The system enables comparison of recommendation effectiveness by measuring the difference in visit probability with and without promotional recommendations.

What changed

NTT DOCOMO filed US Patent Application 20260094174A1 for a recommendation evaluation device that calculates visit likelihood g(x) for stores both with and without recommendations. The system includes an evaluation derivation unit (103) to compute visit probability under each scenario and a recommendation evaluation unit (104) to assess recommendation effectiveness based on the differential. The patent covers CPC classifications G06Q 30/02011 and G06Q 30/0242, indicating applications in consumer recommendation and marketing analytics technology.

This is a published patent application with no compliance deadlines or regulatory obligations. Technology companies developing recommendation algorithms, consumer analytics platforms, or targeted marketing systems should review the disclosed methodology to assess potential patent landscape implications for their own systems. No infringement risk is created by the publication itself; this represents intellectual property filing activity rather than regulatory enforcement.

Archived snapshot

Apr 2, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Applications

RECOMMENDATION EVALUATION DEVICE

Application US20260094174A1 Kind: A1 Apr 02, 2026

Assignee

NTT DOCOMO, INC.

Inventors

Yukiko YOSHIKAWA, Tetsuya YAMAGUCHI, Yuki KATSUMATA

Abstract

An object is to provide a recommendation evaluation device capable of evaluating a recommendation. A recommendation system 100 of the present disclosure includes an evaluation derivation unit 103 configured to derive a visit likelihood evaluation g(x) for a store that has been recommended to a target user and a visit likelihood evaluation g(x) assuming that no recommendation has been made, and a recommendation evaluation unit 104 configured to derive a recommendation evaluation on the basis of the visit likelihood evaluation g(x) for the store that has been recommended and the visit likelihood evaluation assuming that no recommendation has been made.

CPC Classifications

G06Q 30/02011 G06Q 30/0242

Filing Date

2023-09-07

Application No.

19108962

View original document →

Named provisions

Recommendation System 100 Evaluation Derivation Unit 103 Recommendation Evaluation Unit 104

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Last updated

Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260094174A1
Docket
19108962

Who this affects

Applies to
Technology companies Software & Technology
Industry sector
5112 Software & Technology
Activity scope
Algorithm Development Recommendation Systems Consumer Analytics
Geographic scope
United States US

Taxonomy

Primary area
Artificial Intelligence
Operational domain
Legal
Topics
Data Privacy Consumer Protection

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