会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • Concept Discovery in Search Logs
    • 搜索日志中的概念发现
    • US20110119269A1
    • 2011-05-19
    • US12620600
    • 2009-11-18
    • Rakesh AgrawalSreenivas GollapudiNina Mishra
    • Rakesh AgrawalSreenivas GollapudiNina Mishra
    • G06F17/30
    • G06F16/338G06F16/954
    • Described is a search (e.g., web search) technology in which concepts are returned in response to a query in addition to (or instead of) search results in the form of traditional links. Each concept generally corresponds to a set of links to content that are more directed towards a possible user intention, or information need, with respect to that query. If a user selects a concept, that concept's links are exposed to facilitate selection of a document the user finds relevant. In this manner, much more than the top ten ranked links may be provided for a query, each set of other links arranged by the concepts. Also described is processing a query log or other data store to optionally find related queries and find the concepts, e.g., by clustering a relationship graph built from the query log to find dense subgraphs representative of the concepts.
    • 描述了除传统链接形式的(或代替)搜索结果之外还响应于查询返回概念的搜索(例如,网页搜索)技术。 每个概念通常对应于一组到内容的链接,其更多地针对相对于该查询的可能的用户意图或信息需求。 如果用户选择一个概念,则该概念的链接被暴露以便于选择用户发现相关的文档。 以这种方式,可以为查询提供远远超过前十名的链接,每个由概念排列的其他链接集合。 还描述了处理查询日志或其他数据存储以可选地查找相关查询并且通过聚类从查询日志生成的关系图来查找概念,以找到代表概念的密集子图。
    • 3. 发明授权
    • Recommending queries according to mapping of query communities
    • 根据查询社区的映射推荐查询
    • US09171045B2
    • 2015-10-27
    • US12943951
    • 2010-11-11
    • Nina MishraSreenivas GollapudiSrikanth Jagabathula
    • Nina MishraSreenivas GollapudiSrikanth Jagabathula
    • G06F17/30
    • G06F17/30528G06F17/3097
    • A set of queries, such as a search log, is divided into commercial queries and non-commercial queries. A first set of query communities is determined from the non-commercial queries and a second set is determined from the commercial queries. The query communities are correlated based on the users who submitted the queries and instances where a query from the first set of query communities was followed by a query from the second set to generate a mapping between the first set of query communities and the second set. Later, a non-commercial query is received from a user, and the mapping is used to predict one or more commercial queries that the user is likely to submit in the future based on the non-commercial query. One or more of the commercial queries are presented to the user according to the mapping with search results responsive to the non-commercial query.
    • 诸如搜索日志的一组查询被分为商业查询和非商业查询。 从非商业查询确定第一组查询社区,并从商业查询中确定第二组。 查询社区是基于提交查询的用户和来自第一组查询社区的查询后跟来自第二组的查询的用户相关联的,以生成第一组查询社区和第二组之间的映射。 之后,从用户接收到非商业查询,并且映射用于基于非商业查询来预测用户将来可能提交的一个或多个商业查询。 根据与响应于非商业查询的搜索结果的映射,向用户呈现一个或多个商业查询。
    • 4. 发明申请
    • RECOMMENDING QUERIES ACCORDING TO MAPPING OF QUERY COMMUNITIES
    • 根据查询社区的映射建议的查询
    • US20120124070A1
    • 2012-05-17
    • US12943951
    • 2010-11-11
    • Nina MishraSreenivas GollapudiSrikanth Jagabathula
    • Nina MishraSreenivas GollapudiSrikanth Jagabathula
    • G06F17/30
    • G06F17/30528G06F17/3097
    • A set of queries, such as a search log, is divided into commercial queries and non-commercial queries. A first set of query communities is determined from the non-commercial queries and a second set is determined from the commercial queries. The query communities are correlated based on the users who submitted the queries and instances where a query from the first set of query communities was followed by a query from the second set to generate a mapping between the first set of query communities and the second set. Later, a non-commercial query is received from a user, and the mapping is used to predict one or more commercial queries that the user is likely to submit in the future based on the non-commercial query. One or more of the commercial queries are presented to the user according to the mapping with search results responsive to the non-commercial query.
    • 诸如搜索日志的一组查询被分为商业查询和非商业查询。 从非商业查询确定第一组查询社区,并从商业查询中确定第二组。 查询社区是基于提交查询的用户和来自第一组查询社区的查询后跟来自第二组的查询的用户相关联的,以生成第一组查询社区和第二组之间的映射。 之后,从用户接收到非商业查询,并且映射用于基于非商业查询来预测用户将来可能提交的一个或多个商业查询。 根据与响应于非商业查询的搜索结果的映射,向用户呈现一个或多个商业查询。
    • 6. 发明授权
    • Determining query intent
    • 确定查询意图
    • US08612432B2
    • 2013-12-17
    • US12816389
    • 2010-06-16
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • G06F7/00G06F17/30G06F15/18
    • G06F17/30979
    • A tree structure has a node associated with each category of a hierarchy of item categories. Child nodes of the tree are associated with sub-categories of the categories associated with parent nodes. Training data including received queries and indicators of a selected item category for each received query is combined with the tree structure by associating each query with the node corresponding to the selected category of the query. When a query is received, a classifier is applied to the nodes to generate a probability that the query is intended to match an item of the category associated with the node. The classifier is applied until the probability is below a threshold. One or more categories associated with the nodes that are closest to the intent of the received query are selected and indicators of items of those categories that match the received query are output.
    • 树结构具有与项目类别的层次结构的每个类别相关联的节点。 树的子节点与与父节点相关联的类别的子类别相关联。 通过将每个查询与对应于所选择的查询类别的节点相关联,将包括接收到的查询和针对每个接收到的查询的所选项目类别的指示符的训练数据与树结构组合。 当接收到查询时,分类器被应用于节点以产生查询旨在匹配与节点相关联的类别的项目的概率。 应用分类器直到概率低于阈值。 选择与接收到的查询的意图最接近的节点相关联的一个或多个类别,并输出与接收到的查询匹配的那些类别的项目的指示符。
    • 9. 发明申请
    • DETERMINING QUERY INTENT
    • 确定查询内容
    • US20110314012A1
    • 2011-12-22
    • US12816389
    • 2010-06-16
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • G06F17/30
    • G06F17/30979
    • A tree structure has a node associated with each category of a hierarchy of item categories. Child nodes of the tree are associated with sub-categories of the categories associated with parent nodes. Training data including received queries and indicators of a selected item category for each received query is combined with the tree structure by associating each query with the node corresponding to the selected category of the query. When a query is received, a classifier is applied to the nodes to generate a probability that the query is intended to match an item of the category associated with the node. The classifier is applied until the probability is below a threshold. One or more categories associated with the nodes that are closest to the intent of the received query are selected and indicators of items of those categories that match the received query are output.
    • 树结构具有与项目类别的层次结构的每个类别相关联的节点。 树的子节点与与父节点相关联的类别的子类别相关联。 通过将每个查询与对应于所选择的查询类别的节点相关联,将包括接收到的查询和针对每个接收到的查询的所选项目类别的指示符的训练数据与树结构组合。 当接收到查询时,分类器被应用于节点以产生查询旨在匹配与节点相关联的类别的项目的概率。 应用分类器直到概率低于阈值。 选择与接收到的查询的意图最接近的节点相关联的一个或多个类别,并输出与接收到的查询匹配的那些类别的项目的指示符。