Invention Grant
US09584465B2 Optimizing messages to users of a social network using a prediction model that determines likelihood of user performing desired activity
有权
使用确定用户执行所需活动的可能性的预测模型来优化消息给社交网络的用户
- Patent Title: Optimizing messages to users of a social network using a prediction model that determines likelihood of user performing desired activity
- Patent Title (中): 使用确定用户执行所需活动的可能性的预测模型来优化消息给社交网络的用户
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Application No.: US15163657Application Date: 2016-05-24
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Publication No.: US09584465B2Publication Date: 2017-02-28
- Inventor: Lex Arquette , David Y. Chen , Emily B. Grewal , Denise Moreno , Florin Ratiu , Yanxin Shi , Kiranjit Singh Sidhu , Ching-Chih Weng , Huan Yang
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G06F15/18
- IPC: G06F15/18 ; H04L12/58 ; G06Q30/02 ; G06N5/04 ; G06N7/00 ; H04L29/08
Abstract:
Techniques to optimize messages sent to a user of a social networking system. In one embodiment, information about the user may be collected by the social networking system. The information may be applied to train a model for determining likelihood of a desired action by the user in response to candidate messages that may be provided for the user. The social networking system may provide to the user a message from the candidate messages with a selected likelihood of causing the desired action.
Public/Granted literature
- US20160269347A1 METHODS AND SYSTEMS FOR OPTIMIZING MESSAGES TO USERS OF A SOCIAL NETWORK Public/Granted day:2016-09-15
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