The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 28, 2026
Filed:
Dec. 29, 2022
Hao-ming Fu, New York, NY (US);
Patrick Poirson, Gilbert, AZ (US);
Kwot Sin Lee, Weehawken, NJ (US);
Chen Wang, Great Neck, NY (US);
Hao-Ming Fu, New York, NY (US);
Patrick Poirson, Gilbert, AZ (US);
Kwot Sin Lee, Weehawken, NJ (US);
Chen Wang, Great Neck, NY (US);
Snap Inc., Santa Monica, CA (US);
Abstract
A recommendation system implements a linkage (connectivity) score learning algorithm for user-item interaction bipartite graphs that is combined with a lightweight iterative degree update process in the bipartite graph where the degrees used in the scoring formula are updated several times to exploit local graph structures without any node (user/item) modeling. In the linkage score learning algorithm, for user u1 and item i2, the predicted linkage score between them is the sum over all sub-scores of each 3-step linkage path between u1 and i2. The linkage score learning algorithm pre-defines 6 learnable candidate parameter values, selects the best combination of parameters, and predicts a set of linkage scores that can be used for recommendation systems. The linkage score learning algorithm addresses the problem of link prediction by predicting new links in a graph that do not already exist in training data.