Invention Grant
US08595167B1 Predicting likelihood of a successful connection between unconnected users within a social network using a learning network
有权
使用学习网络预测在社交网络内的未连接用户之间成功连接的可能性
- Patent Title: Predicting likelihood of a successful connection between unconnected users within a social network using a learning network
- Patent Title (中): 使用学习网络预测在社交网络内的未连接用户之间成功连接的可能性
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Application No.: US12956510Application Date: 2010-11-30
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Publication No.: US08595167B1Publication Date: 2013-11-26
- Inventor: Andrew Grieve
- Applicant: Andrew Grieve
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Patent Law Works LLP
- Main IPC: G06F17/00
- IPC: G06F17/00
Abstract:
A system and method for suggesting love interests and friendships based on inferred information to users within a social network is disclosed. Data is retrieved from a database. The database includes data from users that achieved relationships. The data also includes a list of each user's connections, the user's activities on the social network and the user's interests. The data is input into a network and the network is trained to predict a likelihood of a successful connection. Data from unconnected users is retrieved and put into the trained network to predict a possible relationship. A connection suggestion is sent to the two unconnected users.
Information query
