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    • 1. 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。
    • 2. 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。
    • 4. 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。
    • 7. 发明授权
    • Semi-supervised part-of-speech tagging
    • 半监督的词性标签
    • US08099417B2
    • 2012-01-17
    • US11954216
    • 2007-12-12
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30864
    • Relevant search results for a given query may be determined using click data for the query and the number of times the query is issued to a search engine. The number of clicks that a result receives for the given query may provide a feedback mechanism to the search engine on how relevant the result is for the given query. The frequency of a query along with the associated clicks provides the search engine with the effectiveness of the query in producing relevant results. Edges in a graph of queries versus results may be weighted in accordance with the click data and the efficiency to rank the search results provided to a user.
    • 给定查询的相关搜索结果可以使用查询的点击数据和查询发布到搜索引擎的次数来确定。 结果为给定查询获得的点击次数可以向搜索引擎提供关于给定查询的结果的相关性的反馈机制。 查询的频率以及相关的点击次数为搜索引擎提供了生成相关结果时查询的有效性。 可以根据点击数据和提供给用户的搜索结果的效率来加权查询与结果图表中的边。
    • 8. 发明授权
    • Large graph measurement
    • 大图测量
    • US08090729B2
    • 2012-01-03
    • US12396514
    • 2009-03-03
    • Sreenivas Gollapudi
    • Sreenivas Gollapudi
    • G06F17/30G06F7/00
    • G06F17/30876G06F17/30873
    • As provided herein, a pairwise distance between nodes in a large graph can be determined efficiently. URL-sketches are generated for respective nodes in an index by extracting labels from respective nodes, which provide a reference to a link between the nodes, aggregating the labels into sets for respective nodes, and storing the sets of labels as URL-sketches. Neighborhood-sketches are generated for the respective nodes in the index using the URL-sketches, by determining a neighborhood for a node and generating a sketch using labels that are associated with the respective neighboring nodes. A distance between two nodes is determined by computing an approximate number of paths and an approximate path length between the two nodes, using the neighborhood sketches for the two nodes.
    • 如本文所提供的,可以有效地确定大图中的节点之间的成对距离。 通过从相应节点提取标签,提供对节点之间的链接的引用,将标签聚集到各个节点的集合中,并将标签集合存储为URL草图,从而为索引中的相应节点生成URL草图。 通过使用URL草图,通过确定节点的邻域并使用与各个相邻节点相关联的标签生成草图来为索引中的相应节点生成邻域草图。 通过使用两个节点的邻域草图计算两个节点之间的近似路径数和两个节点之间的近似路径长度来确定两个节点之间的距离。
    • 10. 发明申请
    • SEMI-SUPERVISED PART-OF-SPEECH TAGGING
    • 半监督的部分话题标签
    • US20090157643A1
    • 2009-06-18
    • US11954216
    • 2007-12-12
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30864
    • Relevant search results for a given query may be determined using click data for the query and the number of times the query is issued to a search engine. The number of clicks that a result receives for the given query may provide a feedback mechanism to the search engine on how relevant the result is for the given query. The frequency of a query along with the associated clicks provides the search engine with the effectiveness of the query in producing relevant results. Edges in a graph of queries versus results may be weighted in accordance with the click data and the efficiency to rank the search results provided to a user.
    • 给定查询的相关搜索结果可以使用查询的点击数据和查询发布到搜索引擎的次数来确定。 结果为给定查询获得的点击次数可以向搜索引擎提供关于给定查询的结果的相关性的反馈机制。 查询的频率以及相关的点击次数为搜索引擎提供了生成相关结果时查询的有效性。 可以根据点击数据和提供给用户的搜索结果的效率来加权查询与结果图表中的边。