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1.发明申请TECHNIQUES FOR DETECTING DECEPTIVE ANSWERS TO USER QUESTIONS BASED ON USER PREFERENCE RELATIONSHIPS 有权基于用户偏好关系检测用户问题的解答答案的技术公开(公告)号：US20150161513A1
公开(公告)日：2015-06-11
申请号：US14100523
申请日：2013-12-09
Applicant: Google Inc.
Inventor： Fangtao Li , Shuchang Zhou
Abstract: A computer-implemented method can include receiving, at a computing device having one or more processors, questions and answers, each question having one or more answers, and each question and each answer being associated with a particular user. The method can include receiving, at the computing device, evaluations of the answers from users. The method can include identifying, at the computing device, at least one of textual and contextual features for each answer to obtain sets of features. The method can include generating, at the computing device, a user preference graph indicating relationships between users associated with at least one of the questions, the answers, and the evaluations. The method can also include detecting, at the computing device, whether each specific answer is a deceptive answer based on its set of features and the user preference graph.
Abstract translation: 计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收问题和答案，每个问题具有一个或多个答案，并且每个问题和每个答案与特定用户相关联。 该方法可以包括在计算设备处接收来自用户的答案的评估。 该方法可以包括在计算设备处识别每个答案的文本和上下文特征中的至少一个以获得特征集合。 该方法可以包括在计算设备处生成指示与至少一个问题，答案和评估相关联的用户之间的关系的用户偏好图。 该方法还可以包括在计算设备处检测每个特定答案是否是基于其特征集合和用户偏好图的欺骗性答案。
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2.发明授权Techniques for detecting deceptive answers to user questions based on user preference relationships 有权基于用户偏好关系检测用户问题的欺骗性答案的技术公开(公告)号：US09514412B2
公开(公告)日：2016-12-06
申请号：US14100523
申请日：2013-12-09
Applicant: Google Inc.
Inventor： Fangtao Li , Shuchang Zhou
Abstract: A computer-implemented method can include receiving, at a computing device having one or more processors, questions and answers, each question having one or more answers, and each question and each answer being associated with a particular user. The method can include receiving, at the computing device, evaluations of the answers from users. The method can include identifying, at the computing device, at least one of textual and contextual features for each answer to obtain sets of features. The method can include generating, at the computing device, a user preference graph indicating relationships between users associated with at least one of the questions, the answers, and the evaluations. The method can also include detecting, at the computing device, whether each specific answer is a deceptive answer based on its set of features and the user preference graph.
Abstract translation: 计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收问题和答案，每个问题具有一个或多个答案，并且每个问题和每个答案与特定用户相关联。 该方法可以包括在计算设备处接收来自用户的答案的评估。 该方法可以包括在计算设备处识别每个答案的文本和上下文特征中的至少一个以获得特征集合。 该方法可以包括在计算设备处生成指示与至少一个问题，答案和评估相关联的用户之间的关系的用户偏好图。 该方法还可以包括在计算设备处检测每个特定答案是否是基于其特征集合和用户偏好图的欺骗性答案。
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