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.

Date of Patent:
Sep. 29, 2020

Filed:

Apr. 22, 2019
Applicant:

Alibaba Group Holding Limited, George Town, KY;

Inventors:

Chaochao Chen, Hangzhou, CN;

Jun Zhou, Hangzhou, CN;

Assignee:

Alibaba Group Holding Limited, George Town, Grand Cayman, KY;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 17/11 (2006.01); H04L 29/06 (2006.01); G06Q 30/06 (2012.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 17/11 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/0631 (2013.01); G06Q 50/01 (2013.01); H04L 63/04 (2013.01); H04L 2209/46 (2013.01); H04L 2209/50 (2013.01);
Abstract

An item rating and recommendation platform identifies rating data including respective ratings of multiple items with respect to multiple users; identifies user-feature data including user features contributing to the respective ratings of the multiple items with respect to the multiple users; and receives, from a social network platform via a secret sharing scheme without a trusted initializer, manipulated social network data computed based on social network data and a first number of random variables. The social network data indicate social relationships between any two of the number of users. In the secret sharing scheme without the trust initializer, the social network platform shares with the item rating and recommendation platform manipulated social network data without disclosing the social network data. The item rating and recommendation platform updates the user-feature data based on the rating data and the manipulated social network data.


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