公开(公告)号：US20140289237A1

公开(公告)日：2014-09-25

申请号：US14296429

申请日：2014-06-04

Applicant: Facebook, Inc.

Inventor： James Wang ,  Jennifer Burge ,  Lars Seren Backstrom ,  Florin Ratiu ,  Daniel Ferrante

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F15/163 ,  G06F17/3064 ,  G06Q30/02

Abstract: To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.

Abstract translation: 为了向社交网络系统的用户建议新的连接，系统生成用户尚未形成连接的一组候选用户。 系统确定如果建议这样做，用户将连接到每个候选用户的可能性，并且如果用户连接到候选用户，它还计算社交网络系统的值。 然后，系统基于相应的可能性和值来计算每个候选用户的期望值得分。 候选用户被排名，并且基于候选用户的预期值得分向用户提供建议。 除了与其他用户形成新的连接之外，社交网络系统还可以向用户建议其他操作。

公开(公告)号：US09928280B2

公开(公告)日：2018-03-27

申请号：US14296429

申请日：2014-06-04

Applicant: Facebook, Inc.

Inventor： James Wang ,  Jennifer Burge ,  Lars Seren Backstrom ,  Florin Ratiu ,  Daniel Ferrante

IPC: G06F15/18 ,  H04L29/08 ,  G06F17/30 ,  G06Q30/02 ,  G06F15/163

CPC classification number: G06F17/3053 ,  G06F15/163 ,  G06F17/3064 ,  G06Q30/02

Abstract: To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users.