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公开(公告)号:US10423672B2
公开(公告)日:2019-09-24
申请号:US12897620
申请日:2010-10-04
申请人: Gilad Avraham Mishne , Umut Ozertem
发明人: Gilad Avraham Mishne , Umut Ozertem
IPC分类号: G06F7/00 , G06F16/951 , G06F16/332
摘要: One embodiment identifies a set of network resources relating to a search query; determines one or more sets of query suggestions for one or more network resources from the set of network resources, respectively, wherein each one of the one or more sets of query suggestions is related to a corresponding one of the one or more network resources; and provides the one or more network resources and the one or more sets of query suggestions in response to the search query, wherein each one of the one or more sets of query suggestions is provided in association with its corresponding one of the one or more network resources.
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公开(公告)号:US20120084297A1
公开(公告)日:2012-04-05
申请号:US12897620
申请日:2010-10-04
申请人: Gilad Avraham Mishne , Umut Ozertem
发明人: Gilad Avraham Mishne , Umut Ozertem
IPC分类号: G06F17/30
摘要: One embodiment identifies a set of network resources relating to a search query; determines one or more sets of query suggestions for one or more network resources from the set of network resources, respectively, wherein each one of the one or more sets of query suggestions is related to a corresponding one of the one or more network resources; and provides the one or more network resources and the one or more sets of query suggestions in response to the search query, wherein each one of the one or more sets of query suggestions is provided in association with its corresponding one of the one or more network resources.
摘要翻译: 一个实施例识别与搜索查询有关的一组网络资源; 从所述一组网络资源中分别确定一个或多个网络资源的一组或多组查询建议,其中所述一组或多组查询建议中的每一个与所述一个或多个网络资源中的相应一个相关联; 并且响应于所述搜索查询提供所述一个或多个网络资源和所述一组或多组查询建议,其中所述一组或多组查询建议中的每一个与其一个或多个网络中的对应的一个或多个网络相关联地提供 资源。
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公开(公告)号:US20100306235A1
公开(公告)日:2010-12-02
申请号:US12474031
申请日:2009-05-28
申请人: Gilad Avraham Mishne
发明人: Gilad Avraham Mishne
CPC分类号: G06F16/951
摘要: A current query model is constructed representing a first histogram of a first set of counts corresponding to a first set of search queries and a current time interval. One or more historical query models are constructed, each uniquely representing a different second histogram of a different second set of counts corresponding to a different second set of search queries and a different historical time interval. A third search query is received. A first generation probability is calculated for the third search query with respect to the current query model. One or more second generation probabilities are calculated for the third search query with respect to the historical query models. A ratio is calculated based on the first generation probability and the second generation probabilities. The third search query is identified as corresponding to an emerging event if the ratio satisfies a predetermined threshold requirement.
摘要翻译: 构造当前查询模型,其表示对应于第一组搜索查询和当前时间间隔的第一组计数的第一直方图。 构建一个或多个历史查询模型,每个唯一地表示对应于不同的第二组搜索查询和不同的历史时间间隔的不同的第二组计数的不同的第二直方图。 接收到第三个搜索查询。 针对当前查询模型计算第三搜索查询的第一代概率。 针对历史查询模型针对第三搜索查询计算一个或多个第二代概率。 基于第一代概率和第二代概率计算比率。 如果该比率满足预定的阈值要求,则第三搜索查询被识别为对应于新出现的事件。
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公开(公告)号:US20110093459A1
公开(公告)日:2011-04-21
申请号:US12579855
申请日:2009-10-15
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
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
IPC分类号: G06F17/30
CPC分类号: G06F17/30867
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.
摘要翻译: 在一个实施例中,访问包括一个或多个新近度搜索查询和一个或多个新近度搜索结果的一组新近度排序数据,每个新近度搜索查询相对于特定时间段是新近敏感度,并且与查询时间戳相关联 表示在搜索引擎处接收到新近度搜索查询的时间,每个新近度搜索结果由搜索引擎为新近搜索查询之一生成,并且包括一个或多个新近网络资源。 从新近度排序数据集合构建多个新近特征。 通过机器学习,至少使用新特性来训练第一个排名榜。
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公开(公告)号:US08886641B2
公开(公告)日:2014-11-11
申请号:US12579855
申请日:2009-10-15
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
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
IPC分类号: G06F17/30
CPC分类号: G06F17/30867
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.
摘要翻译: 在一个实施例中,访问包括一个或多个新近度搜索查询和一个或多个新近度搜索结果的一组新近度排序数据,每个新近度搜索查询相对于特定时间段是新近敏感度,并且与查询时间戳相关联 表示在搜索引擎处接收到新近度搜索查询的时间,每个新近度搜索结果由搜索引擎为新近搜索查询之一生成,并且包括一个或多个新近网络资源。 从新近度排序数据集合构建多个新近特征。 通过机器学习,至少使用新特性来训练第一个排名榜。
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