发明名称 |
Predicting Interest Levels Associated with Publication and Content Item Combinations |
摘要 |
A method of predicting interest levels associated with publication and content item combinations is described. Additionally, a server computing device for predicting interest levels associated with publication and content item combinations is described. Further, a computer-readable storage device having processor-executable instructions embodied thereon is described. The processor-executable instructions are for predicting interest levels associated with publication and content item combinations. |
申请公布号 |
US2015088801(A1) |
申请公布日期 |
2015.03.26 |
申请号 |
US201314037010 |
申请日期 |
2013.09.25 |
申请人 |
Google Inc. |
发明人 |
Sbaiz Luciano;Trendafilov Dimitre |
分类号 |
G06N5/04;H04L29/06 |
主分类号 |
G06N5/04 |
代理机构 |
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代理人 |
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主权项 |
1. A method of predicting interest levels associated with publication and content item combinations, the method implemented by a server computing device that is communicatively coupled to at least one client computing device, the method comprising:
determining a first interest level associated with a first combination including a first publication and a first set of keywords used for selecting a first content item to be displayed in conjunction with the first publication; determining a second interest level associated with a second combination including a second publication and a second set of keywords used for selecting a second content item to be displayed in conjunction with the second publication; determining a first dependency of the first interest level on the first set of keywords and a second dependency of the first interest level on a first provider of publications associated with the first publication; determining a third dependency of the second interest level on the second set of keywords and a fourth dependency of the second interest level on a second provider of publications associated with the second publication; and generating (i) a proposed combination of the first publication and one of the first set of keywords and the second set of keywords and (ii) a predicted interest level associated with the proposed combination, based at least on the first dependency, the second dependency, the third dependency, and the fourth dependency. |
地址 |
Mountain View CA US |