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    • 1. 发明授权
    • Related links recommendation
    • 相关链接推荐
    • US08412726B2
    • 2013-04-02
    • US12793047
    • 2010-06-03
    • Jun YanNing LiuZheng ChenLei JiJiulong WangXiao Liang
    • Jun YanNing LiuZheng ChenLei JiJiulong WangXiao Liang
    • G06F17/30
    • G06F17/30867
    • The related links recommendation technique described herein employs combined collaborative filtering to recommend related web pages to users. The technique creates multiple collaborative filters which are combined in order to create a combined collaborative filter to recommend web pages similar to a given web page to a user. One query-based collaborative filter is created by using query search clicks (e.g., user input device selection actions on search results returned in response to a search query). Another user-behavior-based collaborative filter is created by using query search clicks and user clicks while browsing websites (e.g., user input device selection actions while a user is browsing websites). Lastly, another content-based collaborative filter based on similar content of web pages is created by finding web pages with similar content.
    • 本文描述的相关链接推荐技术采用组合协同过滤来向用户推荐相关网页。 该技术创建了多个协作过滤器,这些过滤器被组合以便创建组合的协同过滤器以向用户推荐类似于给定网页的网页。 通过使用查询搜索点击创建一个基于查询的协作过滤器(例如,响应于搜索查询返回的搜索结果上的用户输入设备选择动作)。 通过在浏览网站时使用查询搜索点击和用户点击创建另一个基于用户行为的协作过滤器(例如,用户浏览网站时的用户输入设备选择动作)。 最后,通过查找具有相似内容的网页来创建基于类似内容的网页的另一基于内容的协作过滤器。
    • 2. 发明申请
    • RELATED LINKS RECOMMENDATION
    • 相关链接建议
    • US20110302155A1
    • 2011-12-08
    • US12793047
    • 2010-06-03
    • Jun YanNing LiuLei JiZheng ChenJiulong WangXiao Liang
    • Jun YanNing LiuLei JiZheng ChenJiulong WangXiao Liang
    • G06F17/30
    • G06F17/30867
    • The related links recommendation technique described herein employs combined collaborative filtering to recommend related web pages to users. The technique creates multiple collaborative filters which are combined in order to create a combined collaborative filter to recommend web pages similar to a given web page to a user. One query-based collaborative filter is created by using query search clicks (e.g., user input device selection actions on search results returned in response to a search query). Another user-behavior-based collaborative filter is created by using query search clicks and user clicks while browsing websites (e.g., user input device selection actions while a user is browsing websites). Lastly, another content-based collaborative filter based on similar content of web pages is created by finding web pages with similar content.
    • 本文描述的相关链接推荐技术采用组合协同过滤来向用户推荐相关网页。 该技术创建了多个协作过滤器,这些过滤器被组合以便创建组合的协同过滤器以向用户推荐类似于给定网页的网页。 通过使用查询搜索点击创建一个基于查询的协作过滤器(例如,响应于搜索查询返回的搜索结果上的用户输入设备选择动作)。 通过在浏览网站时使用查询搜索点击和用户点击创建另一个基于用户行为的协作过滤器(例如,用户浏览网站时的用户输入设备选择动作)。 最后,通过查找具有相似内容的网页来创建基于类似内容的网页的另一基于内容的协作过滤器。