DISAMBIGUATING USER INTENT IN CONVERSATIONAL INTERACTION SYSTEM FOR LARGE CORPUS INFORMATION RETRIEVAL
    2.
    发明申请
    DISAMBIGUATING USER INTENT IN CONVERSATIONAL INTERACTION SYSTEM FOR LARGE CORPUS INFORMATION RETRIEVAL 审中-公开
    在大型公司信息检索交互式交互系统中分析用户意图

    公开(公告)号:US20170017719A1

    公开(公告)日:2017-01-19

    申请号:US15277288

    申请日:2016-09-27

    申请人: Veveo, Inc.

    IPC分类号: G06F17/30

    摘要: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

    摘要翻译: 公开了一种在用于信息检索的对话交互中消除用户意图的歧义的方法。 该方法包括使用描述内容项的元数据提供对一组内容项的访问,并且提供对显示内容项之间的语义关系和链接的结构知识的访问。 该方法还包括提供用户偏好签名,从用户接收由用户打算识别至少一个所需内容项目的第一输入,以及确定第一输入的模糊度索引。 如果模糊度指数高,则该方法基于第一输入和结构知识,用户偏好签名,用户的位置以及第一输入的时间中的至少一个确定查询输入,并且选择内容项 基于与查询输入和与内容项相关联的元数据的比较。

    Disambiguating user intent in conversational interaction system for large corpus information retrieval
    6.
    发明授权
    Disambiguating user intent in conversational interaction system for large corpus information retrieval 有权
    在大型语料库信息检索的对话交互系统中消除用户意图

    公开(公告)号:US09465833B2

    公开(公告)日:2016-10-11

    申请号:US13801812

    申请日:2013-03-13

    申请人: Veveo, Inc.

    IPC分类号: G06F17/30

    摘要: A method of disambiguating user intent in conversational interactions for information retrieval is disclosed. The method includes providing access to a set of content items with metadata describing the content items and providing access to structural knowledge showing semantic relationships and links among the content items. The method further includes providing a user preference signature, receiving a first input from the user that is intended by the user to identify at least one desired content item, and determining an ambiguity index of the first input. If the ambiguity index is high, the method determines a query input based on the first input and at least one of the structural knowledge, the user preference signature, a location of the user, and the time of the first input and selects a content item based on comparing the query input and the metadata associated with the content item.

    摘要翻译: 公开了一种在用于信息检索的对话交互中消除用户意图的歧义的方法。 该方法包括使用描述内容项的元数据提供对一组内容项的访问,并提供对显示内容项之间的语义关系和链接的结构知识的访问。 该方法还包括提供用户偏好签名,从用户接收由用户打算识别至少一个所需内容项目的第一输入,以及确定第一输入的模糊度索引。 如果模糊度指数高,则该方法基于第一输入和结构知识,用户偏好签名,用户的位置以及第一输入的时间中的至少一个确定查询输入,并且选择内容项 基于与查询输入和与内容项相关联的元数据的比较。