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1.发明授权公开(公告)号：US10268960B2
公开(公告)日：2019-04-23
申请号：US14678890
申请日：2015-04-03
发明人： Conglei Yao , Junjie Zhai , Liang Wang , Quan Wen , Yanan Li
摘要： The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.
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公开(公告)号：US09223775B2
公开(公告)日：2015-12-29
申请号：US14372988
申请日：2013-01-16
发明人： Liang Wang , Yuekui Yang , Conglei Yao , Chunbo Liu , Feng Jiao , Qi Guo , Ziming Zhuang , Yukun Wang , Jianxun Zhou
CPC分类号： G06F17/2765 , G06F17/2785 , G06F17/30616 , G06N5/02 , G06Q10/00 , G06Q30/00
摘要： Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.
摘要翻译： 提供了一种用户问题处理方法和系统。 该方法包括：从用户问题中提取第一特征信息; 计算至少两个网站中的每一个的第一特征和第二特征信息之间的相似度; 根据相似性向至少两个网站中的至少一个发布该问题。 该实施例的解决方案可以应用于提供问答服务的网站，并且网站可以在与问题的相关领域相关的另一网站上发布接收到的用户问题，从而扩大用户信息交换的范围。
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公开(公告)号：US20150006156A1
公开(公告)日：2015-01-01
申请号：US14372988
申请日：2013-01-16
发明人： Liang Wang , Yuekui Yang , Conglei Yao , Chunbo Liu , Feng Jiao , Qi Guo , Ziming Zhuang , Yukun Wang , Jianxun Zhou
CPC分类号： G06F17/2765 , G06F17/2785 , G06F17/30616 , G06N5/02 , G06Q10/00 , G06Q30/00
摘要： Provided is a user question processing method and system. The method includes: extracting first feature information from a user question; calculating the similarity between the first feature and second feature information of each of at least two websites; posting the question on at least one of the at least two websites according to the similarity. The solution of the embodiment can be applied to a website providing a question and answer service, and the website can post a received user question on another website related to the concerned field of the question, thereby enlarging the scope of the user information exchange.
摘要翻译： 提供了一种用户问题处理方法和系统。 该方法包括：从用户问题中提取第一特征信息; 计算至少两个网站中的每一个的第一特征和第二特征信息之间的相似度; 根据相似性向至少两个网站中的至少一个发布该问题。 该实施例的解决方案可以应用于提供问答服务的网站，并且网站可以在与问题的相关领域相关的另一网站上发布接收到的用户问题，从而扩大用户信息交换的范围。
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4.发明授权公开(公告)号：US11710054B2
公开(公告)日：2023-07-25
申请号：US16289056
申请日：2019-02-28
发明人： Conglei Yao , Junjie Zhai , Liang Wang , Quan Wen , Yanan Li
IPC分类号： G06N5/04 , G06N5/02 , G06N5/022 , G06F16/9535 , G06N7/01
CPC分类号： G06N5/04 , G06N5/02 , G06N5/022 , G06F16/9535 , G06N7/01
摘要： The present disclosure discloses a method, apparatus, and server for information recommendation. Search behavior data, browsing behavior data, and click behavior data on recommended content of a specified user in a forum are acquired. A preprocessing on the search behavior data, the browsing behavior data, and the click behavior data on recommended content is performed respectively to obtain a first recommendation result, a second recommendation result, and a third recommendation result. Distribution and integration on the first recommendation result, the second recommendation result, and the third recommendation result are performed according to weights to obtain recommended content to be recommended to the specified user. Search behavior data, browsing behavior data, and click behavior data on recommended content are taken into comprehensive consideration, data used in recommendation is enriched, and accuracy of recommendation is improved.
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