发明授权
- 专利标题： Incorporating recency in network search using machine learning
- 专利标题（中）： 使用机器学习将新近度纳入网络搜索
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申请号： US12579855申请日： 2009-10-15
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公开(公告)号： US08886641B2公开(公告)日： 2014-11-11
- 发明人: Anlei Dong , Yi Chang , Ruiqiang Zhang , Zhaohui Zheng , Gilad Avraham Mishne , Jing Bai , Karolina Barbara Buchner , Ciya Liao , Shihao Ji , Gilbert Leung , Georges-Eric Albert Marie Robert Dupret , Ling Liu
- 申请人： Anlei Dong , Yi Chang , Ruiqiang Zhang , Zhaohui Zheng , Gilad Avraham Mishne , Jing Bai , Karolina Barbara Buchner , Ciya Liao , Shihao Ji , Gilbert Leung , Georges-Eric Albert Marie Robert Dupret , Ling Liu
- 申请人地址： US CA Sunnyvale
- 专利权人： Yahoo! Inc.
- 当前专利权人： Yahoo! Inc.
- 当前专利权人地址： US CA Sunnyvale
- 代理机构： Pillsbury Winthrop Shaw Pittman LLP
- 主分类号： G06F17/30
- IPC分类号： G06F17/30
摘要：
In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.
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