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1. 发明公开

EP1598755A2 Search engine spam detection using external data 审中-公开
标题翻译：在einer中的Spamentdeckung这样的。urch。en。en。。。。。。。。。。。
公开(公告)号：EP1598755A2
公开(公告)日：2005-11-23
申请号：EP05103965.9
申请日：2005-05-12
申请人： MICROSOFT CORPORATION
发明人： Ramarathnam, Bama , Watson, Eric B. , Crumb, Janine Ruth
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , Y10S707/913 , Y10S707/959 , Y10S707/99935 , Y10S707/99936
摘要： Evaluating an electronic document in connection with a search. An external source provides data for use in evaluating an electronic document retrieved by a search engine. A first confidence level of the electronic document is determined based on the externally provided data. The first confidence level indicates a likelihood that the electronic document is undesirable. A second confidence level of the electronic document is determined based on attributes of the electronic document. The second confidence level indicates a likelihood that the electronic document is unsatisfactory with respect to a search. A rating for the electronic document generated as a function of the determined first confidence level and the determined second confidence level is used to categorize the electronic document as unsatisfactory in connection with a received search request.
摘要翻译：评估与搜索有关的电子文档。外部来源提供用于评估由搜索引擎检索的电子文档的数据。基于外部提供的数据确定电子文档的第一置信度。第一个置信水平表示电子文档是不可取的可能性。基于电子文档的属性确定电子文档的第二置信水平。第二个置信水平表示电子文档对于搜索不能令人满意的可能性。根据确定的第一置信度和所确定的第二置信水平生成的电子文档的评级用于将电子文档与接收的搜索请求相关联地不理想。

2. 发明公开

EP1598755A3 Search engine spam detection using external data 审中-公开
标题翻译：在搜索引擎的垃圾邮件检测通过使用外部数据
公开(公告)号：EP1598755A3
公开(公告)日：2006-07-12
申请号：EP05103965.9
申请日：2005-05-12
申请人： MICROSOFT CORPORATION
发明人： Ramarathnam, Bama , Watson, Eric B. , Crumb, Janine Ruth
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , Y10S707/913 , Y10S707/959 , Y10S707/99935 , Y10S707/99936
摘要： Evaluating an electronic document in connection with a search. An external source provides data for use in evaluating an electronic document retrieved by a search engine. A first confidence level of the electronic document is determined based on the externally provided data. The first confidence level indicates a likelihood that the electronic document is undesirable. A second confidence level of the electronic document is determined based on attributes of the electronic document. The second confidence level indicates a likelihood that the electronic document is unsatisfactory with respect to a search. A rating for the electronic document generated as a function of the determined first confidence level and the determined second confidence level is used to categorize the electronic document as unsatisfactory in connection with a received search request.

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