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1. 发明申请

US20100306213A1 Merging Search Results 有权
标题翻译：合并搜索结果
公开(公告)号：US20100306213A1
公开(公告)日：2010-12-02
申请号：US12473158
申请日：2009-05-27
申请人： Michael J. Taylor , Filiip Radlinski , Milad Shokouhi
发明人： Michael J. Taylor , Filiip Radlinski , Milad Shokouhi
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Merging search results is required, for example, where an information retrieval system issues a query to multiple sources and obtains multiple results lists. In an embodiment a search engine at an Enterprise domain sends a query to the Enterprise search engine and also to a public Internet search engine. In embodiments, results lists obtained from different sources are merged using a merging model which is learnt using a machine learning process and updates when click-through data is observed for example. In examples, user information available in the Enterprise domain is used to influence the merging process to improve the relevance of results. In some examples, the user information is used for query modification. In an embodiment a user is able to impersonate a user of a specified group in order to promote particular results.
摘要翻译：需要合并搜索结果，例如，信息检索系统向多个源发出查询并获得多个结果列表。在一个实施例中，企业域的搜索引擎向Enterprise搜索引擎以及公共因特网搜索引擎发送查询。在实施例中，使用使用机器学习过程学习的合并模型来合并从不同来源获得的结果列表，并且例如在观察到点击数据时进行更新。在示例中，Enterprise域中可用的用户信息用于影响合并过程以提高结果的相关性。在一些示例中，用户信息用于查询修改。在一个实施例中，用户能够模拟指定组的用户以便促进特定结果。

2. 发明授权

US09495460B2 Merging search results 有权
标题翻译：合并搜索结果
公开(公告)号：US09495460B2
公开(公告)日：2016-11-15
申请号：US12473158
申请日：2009-05-27
申请人： Michael J. Taylor , Filiip Radlinski , Milad Shokouhi
发明人： Michael J. Taylor , Filiip Radlinski , Milad Shokouhi
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Merging search results is required, for example, where an information retrieval system issues a query to multiple sources and obtains multiple results lists. In an embodiment a search engine at an Enterprise domain sends a query to the Enterprise search engine and also to a public Internet search engine. In embodiments, results lists obtained from different sources are merged using a merging model which is learnt using a machine learning process and updates when click-through data is observed for example. In examples, user information available in the Enterprise domain is used to influence the merging process to improve the relevance of results. In some examples, the user information is used for query modification. In an embodiment a user is able to impersonate a user of a specified group in order to promote particular results.
摘要翻译：需要合并搜索结果，例如，信息检索系统向多个源发出查询并获得多个结果列表。在一个实施例中，企业域的搜索引擎向Enterprise搜索引擎以及公共因特网搜索引擎发送查询。在实施例中，使用使用机器学习过程学习的合并模型来合并从不同来源获得的结果列表，并且例如在观察到点击数据时进行更新。在示例中，Enterprise域中可用的用户信息用于影响合并过程以提高结果的相关性。在一些示例中，用户信息用于查询修改。在一个实施例中，用户能够模拟指定组的用户以便促进特定结果。

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