发明名称 |
INFERRED IDENTITY |
摘要 |
Techniques for inferring the identity (e.g., member profile attributes) of members of an online social network service are described. According to various embodiments, a member profile attribute missing from a member profile page associated with a particular member of an online social network service is identified. Member profile data and behavioral log data associated with a plurality of members of the online social network service is then accessed. Thereafter, a prediction modeling process is performed, based on a prediction model and feature data including the member profile data and the behavioral log data, to generate a confidence score associated with the particular member and the missing member profile attribute, the confidence score indicating a likelihood that the missing member profile attribute corresponds to a candidate value. |
申请公布号 |
US2016098644(A1) |
申请公布日期 |
2016.04.07 |
申请号 |
US201514965712 |
申请日期 |
2015.12.10 |
申请人 |
LinkedIn Corporation |
发明人 |
Hua Zhigang;Kan Kin Fai;Skomoroch Peter N.;Lau Gloria;Uryasev Saveliy |
分类号 |
G06N7/00;G06N99/00 |
主分类号 |
G06N7/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
identifying a member profile attribute missing from a member profile page associated with a particular member of an online social network service; accessing member profile data associated with a plurality of members of the online social network service; accessing behavioral log data associated with the members, the behavioral log data indicating interactions by the members with one or more products of the online social network service; and performing prediction modeling, using one or more processors, based on a prediction model and feature data including the member profile data and the behavioral log data, to generate a confidence score associated with the particular member and the missing member profile attribute, the confidence score indicating a likelihood that the missing member profile attribute corresponds to a candidate value. |
地址 |
Mountain View CA US |