Invention Grant
- Patent Title: Predicting content performance with interest data
- Patent Title (中): 用兴趣数据预测内容表现
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Application No.: US13831110Application Date: 2013-03-14
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Publication No.: US09549017B2Publication Date: 2017-01-17
- Inventor: Xiaonan Zhang , Shankar Ponnekanti , Oren Eli Zamir , Ting Liu
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Foley & Lardner LLP
- Agent John D. Lanza; James De Vellis
- Priority: IL221685 20120829
- Main IPC: H04L29/08
- IPC: H04L29/08 ; G06F17/30

Abstract:
Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.
Public/Granted literature
- US20140068011A1 PREDICTING CONTENT PERFORMANCE WITH INTEREST DATA Public/Granted day:2014-03-06
Information query