USER RECOMMENDATION METHOD AND A USER RECOMMENDATION SYSTEM USING THE SAME

Patent №

US 9,519,684

Granted

2016-12-13

Filed 2013

Owner

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13909008

A user recommendation method for supporting a social networking application includes receiving a user recommendation triggering command from a user at a mobile terminal; generating a recommended candidate user list based on the user recommendation triggering command; reading user social networking quality data, and calculating a matching success rate for each user in the recommended candidate user list based on the user social networking quality data; and selecting at least one user with a highest matching success rate from the recommended candidate user list for recommendation. By implementing the user recommendation method, recommendation performance and recommendation efficiency in the social networking application are improved. In addition, a user recommendation system implemented with the user recommendation method is also provided.

AI classification

Planning0.98
Machine learning0.97
Knowledge representation0.94
Evolutionary computation0.07
AI hardware0.02
Natural language0.01
Vision0.00
Speech0.00

Ownership

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

assignment · 308510064

Assignors

XU, ZHENYU

On an employer assignment, the assignors are typically the inventors.

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