Invention Grant
US08838688B2 Inferring user interests using social network correlation and attribute correlation
有权
使用社交网络相关性和属性相关性来推断用户兴趣
- Patent Title: Inferring user interests using social network correlation and attribute correlation
- Patent Title (中): 使用社交网络相关性和属性相关性来推断用户兴趣
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Application No.: US13118726Application Date: 2011-05-31
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Publication No.: US08838688B2Publication Date: 2014-09-16
- Inventor: Ching-Yung Lin , Zhen Wen
- Applicant: Ching-Yung Lin , Zhen Wen
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06Q99/00 ; G06Q30/00 ; G06Q50/00 ; G06F17/30 ; G06Q30/02

Abstract:
Methods and apparatus are provided for inferring user interests from both direct and indirect social neighbors. User interests are inferred from social neighbors by exploiting the correlation among multiple attributes of a user, in addition to the social correlation of an attribute among a group of users. Attributes of a user are inferred by obtaining an inferred set of attributes comprised of one or more attributes of social neighbors of the user. Thereafter, the inferred set is modified using a user attribute correlation model describing a probability that the attributes in the inferred set co-occur on the user and one or more of the social neighbors. An inference quality of the obtained attributes can optionally be obtained based on social network properties of the social neighbors. Interactions with the user and/or the social neighbors can be employed to solicit feedback to improve the one or more inferred attributes.
Public/Granted literature
- US20120311030A1 Inferring User Interests Using Social Network Correlation and Attribute Correlation Public/Granted day:2012-12-06
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