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公开(公告)号：US10289735B2
公开(公告)日：2019-05-14
申请号：US12768172
申请日：2010-04-27
申请人： Ryen W. White , Peter Bailey , Nikhil Dandekar , Adish Singla , Jeff Huang
发明人： Ryen W. White , Peter Bailey , Nikhil Dandekar , Adish Singla , Jeff Huang
IPC分类号： G06F17/30
摘要： Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.
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公开(公告)号：US20110264673A1
公开(公告)日：2011-10-27
申请号：US12768172
申请日：2010-04-27
申请人： Ryen W. White , Peter Bailey , Nikhil Dandekar , Adish Singla , Jeff Huang
发明人： Ryen W. White , Peter Bailey , Nikhil Dandekar , Adish Singla , Jeff Huang
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.
摘要翻译： 搜索和浏览轨迹是在与搜索结果之一相关联的页面开始的后搜索查询导航期间由用户访问的网页的时间排序的序列。 路线可以为许多与搜索有关的目的提供有用的信息。 例如，这些路径可用于利用其他用户的查询后行为来更有效地帮助当前的用户搜索，并允许他们进行更为明智的搜索交互决策。 跟踪也可用于建立搜索结果，优化搜索结果排名，选择和评估深层链接，并推荐多步骤跟踪作为现有搜索结果呈现技术的替代或增强。
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公开(公告)号：US20130173571A1
公开(公告)日：2013-07-04
申请号：US13341653
申请日：2011-12-30
申请人： Weizhu Chen , Zheng Chen , Adish Singla
发明人： Weizhu Chen , Zheng Chen , Adish Singla
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/30424 , G06F17/3053 , G06F17/30634 , G06F17/30657 , G06F17/30864
摘要： The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.
摘要翻译： 这里讨论的技术考虑了与在搜索会话期间执行的用户点击相关联的噪音程度。 然后，该技术产生表征点击噪声的模型，使得搜索引擎可以更准确地推断文档相关性。
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公开(公告)号：US09355095B2
公开(公告)日：2016-05-31
申请号：US13341653
申请日：2011-12-30
申请人： Weizhu Chen , Zheng Chen , Adish Singla
发明人： Weizhu Chen , Zheng Chen , Adish Singla
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/30424 , G06F17/3053 , G06F17/30634 , G06F17/30657 , G06F17/30864
摘要： The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.
摘要翻译： 这里讨论的技术考虑了与在搜索会话期间执行的用户点击相关联的噪音程度。 然后，该技术产生表征点击噪声的模型，使得搜索引擎可以更准确地推断文档相关性。
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搜索结果
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