RECOMMENDING CONTACTS IN A SOCIAL NETWORK

Patent №

US 7,596,597

Granted

2009-09-29

Filed 2006

Owner

MICROSOFT CORPORATION

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11468863

A method and system for recommending potential contacts to a target user is provided. A recommendation system identifies users who are related to the target user through no more than a maximum degree of separation. The recommendation system identifies the users by starting with the contacts of the target user and identifying users who are contacts of the target user's contacts, contacts of those contacts, and so on. The recommendation system then ranks the identified users, who are potential contacts for the target user, based on a likelihood that the target user will want to have a direct relationship with the identified users. The recommendation system then presents to the target user a ranking of the users who have not been filtered out.

Machine learningKnowledge representationPlanningG06F 16/9536G06F 16/24575G06F 16/24578G06F 16/9535G06Q 10/10G06Q 10/40H04L 67/306

AI classification

Planning1.00
Knowledge representation1.00
Machine learning0.99
Evolutionary computation0.02
Natural language0.02
Vision0.01
AI hardware0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 185460614

Assignors

LIU, DAFAN, CHEN, HUA, MA, WEI-YING

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

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