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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
    • RANKING SEARCH RESULTS USING WEIGHTED TOPOLOGIES
    • 使用加权拓扑来排列搜索结果
    • US20130159291A1
    • 2013-06-20
    • US13325081
    • 2011-12-14
    • Samuel IeongNina MishraOr Sheffet
    • Samuel IeongNina MishraOr Sheffet
    • G06F17/30
    • G06Q30/02G06F16/951
    • Identifiers of items generated in response to a query are each ranked in a way that considers the other identified items. Topologies are generated that correspond to features of the identified items. Each topology may be a Markov chain that includes a node for each identified item and directed edges between the nodes. Each directed edge between a node pair has an associated transition probability that represents the likelihood that a hypothetical user would change their preference from a first node in the pair to the second node in the pair when considering the feature associated with the topology. The topologies are weighted according to the relative importance of the features that correspond to the topologies. The weighted topologies are used to generate a stationary distribution of the identified items, and the identified items are ranked using the stationary distribution.
    • 响应于查询生成的项目的标识符都以考虑其他已识别项目的方式进行排名。 生成与所识别项目的特征对应的拓扑。 每个拓扑可以是马尔可夫链,其包括用于每个识别的项目的节点和节点之间的有向边。 节点对之间的每个有向边具有相关联的转移概率,其表示当考虑与拓扑相关联的特征时,假设用户将其优选从该对中的第一节点改变成对中的第二节点的可能性。 根据与拓扑对应的特征的相对重要性,对拓扑进行加权。 加权拓扑用于产生所识别的项目的固定分布,并且使用固定分布对所识别的项目进行排名。
    • 6. 发明申请
    • SYNOPSIS OF A SEARCH LOG THAT RESPECTS USER PRIVACY
    • 搜索记录的概要,以表达用户隐私
    • US20100318546A1
    • 2010-12-16
    • US12485058
    • 2009-06-16
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • G06F17/30
    • G06F17/30867
    • Described is releasing output data representing a search log, in which the data is suitable for most data mining/analysis applications, but is safe to publish by preserving user privacy. The search log is processed such that a query is only included if a sufficient count of that query is present; noise may be added. User contributions that are considered may be limited to a maximum number of queries. The output may indicate how often (possibly plus noise) that each query appeared. Other output may comprise a query-action graph, a query-inaction graph and/or a query-reformulation graph, with nodes representing queries and nodes representing actions, inactions or reformulations (e.g., clicked URLs, skipped URLs, or selected related queries), and edges between nodes representing action, skip or selection counts (possibly plus noise). The output may correspond to the top results/related queries returned from a search.
    • 描述了释放表示搜索日志的输出数据,其中数据适用于大多数数据挖掘/分析应用程序,但通过保护用户隐私来安全地发布。 处理搜索日志,使得仅当存在该查询的足够计数时才包括查询; 可能会添加噪音。 被考虑的用户贡献可能被限制为最大数量的查询。 输出可以指示每个查询出现的频率(可能加噪声)。 其他输出可以包括查询动作图,查询反应图和/或查询重构图,其中节点表示查询和节点,表示动作,不作为或重新设定(例如,点击的URL,跳过的URL或选择的相关查询) ,并且节点之间的边缘表示动作,跳过或选择计数(可能加上噪声)。 输出可以对应于从搜索返回的最高结果/相关查询。
    • 10. 发明授权
    • Synopsis of a search log that respects user privacy
    • 搜索日志的简要说明,尊重用户隐私
    • US08601024B2
    • 2013-12-03
    • US12485058
    • 2009-06-16
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • Krishnaram KenthapadiAleksandra KorolovaNina MishraAlexandros Ntoulas
    • G06F17/30
    • G06F17/30867
    • Described is releasing output data representing a search log, in which the data is suitable for most data mining/analysis applications, but is safe to publish by preserving user privacy. The search log is processed such that a query is only included if a sufficient count of that query is present; noise may be added. User contributions that are considered may be limited to a maximum number of queries. The output may indicate how often (possibly plus noise) that each query appeared. Other output may comprise a query-action graph, a query-inaction graph and/or a query-reformulation graph, with nodes representing queries and nodes representing actions, inactions or reformulations (e.g., clicked URLs, skipped URLs, or selected related queries), and edges between nodes representing action, skip or selection counts (possibly plus noise). The output may correspond to the top results/related queries returned from a search.
    • 描述了释放表示搜索日志的输出数据,其中数据适用于大多数数据挖掘/分析应用程序,但通过保护用户隐私来安全地发布。 处理搜索日志,使得仅当存在该查询的足够计数时才包括查询; 可能会添加噪音。 被考虑的用户贡献可能被限制为最大数量的查询。 输出可以指示每个查询出现的频率(可能加噪声)。 其他输出可以包括查询动作图,查询反应图和/或查询重构图,其中节点表示查询和节点,表示动作,不作为或重新设定(例如,点击的URL,跳过的URL或选择的相关查询) ,并且节点之间的边缘表示动作,跳过或选择计数(可能加上噪声)。 输出可以对应于从搜索返回的最高结果/相关查询。