User behavior-driven background cache refreshing
    1.
    发明授权
    User behavior-driven background cache refreshing 有权
    用户行为驱动的后台缓存刷新

    公开(公告)号:US08898133B2

    公开(公告)日:2014-11-25

    申请号:US13332340

    申请日:2011-12-20

    IPC分类号: G06F17/30

    摘要: Methods and system for providing social feeds from a plurality of third party sites to a user at a host site includes retrieving one or more access logs capturing online behavior of the user. The access logs are analyzed to determine the user's interactive behavioral pattern related to social feeds from each of the plurality of third party sites. A refresh schedule for the user is computed to refresh cache entries of social feeds at the host site based on the analysis of the user's online behavior at the social feeds. Cache entries of social feeds for the user are refreshed at the host site from the one or more of the plurality of third party sites at an allotted time specified by the refresh schedule.

    摘要翻译: 用于从多个第三方站点向主机站点的用户提供社交馈送的方法和系统包括检索捕获用户的在线行为的一个或多个访问日志。 分析访问日志以确定与来自多个第三方站点中的每一个的社交馈送相关的用户的交互行为模式。 计算用户的刷新时间表,用于根据用户在社交Feed上的在线行为的分析来刷新主机站点的社交Feed的缓存条目。 在由刷新时间表指定的分配时间的情况下,在主机站点从多个第三方站点中的一个或多个站点刷新用户的社交馈送的缓存条目。

    LARGE SCALE ENTITY-SPECIFIC RESOURCE CLASSIFICATION
    2.
    发明申请
    LARGE SCALE ENTITY-SPECIFIC RESOURCE CLASSIFICATION 有权
    大规模实体特定资源分类

    公开(公告)号:US20110264651A1

    公开(公告)日:2011-10-27

    申请号:US12764694

    申请日:2010-04-21

    IPC分类号: G06F17/30 G06F15/18

    CPC分类号: G06F17/30867

    摘要: A system and method is described for large scale entity-specific classification of each entity-specific set of candidates in a collection of candidates for each specific entity in a collection of entities. The collection of entities may comprise a specific category or domain of entities (e.g. schools, restaurants, manufacturers, products, events, people). Candidates may comprise webpages or other resources with resource identifiers. Entity specific sets of candidates may be found by leveraging search engine query results and user interaction therewith for queries based on entity-specific attributes. The relationship(s) or class(es) for which candidate resources are being classified relative to a specific entity may comprise an authoritative, official home page (OHP), or other class (e.g. fan page, review, aggregator) relative to a specific entity. A feature generator generates entity-specific features for candidates. In accordance with its features, one or more classifiers rank each candidate for a specific class for a specific entity.

    摘要翻译: 描述了用于在实体集合中的每个特定实体的候选集合中的每个实体特定的候选者集合的大规模实体特定分类的系统和方法。 实体的收集可以包括实体(例如学校,餐馆,制造商,产品,事件,人)的特定类别或领域。 候选人可以包括具有资源标识符的网页或其他资源。 可以通过利用搜索引擎查询结果和与其进行用户交互来查找基于实体特定属性的查询来找到实体特定的候选者集合。 候选资源相对于特定实体被分类的关系或类可以包括权威的官方主页(OHP)或相对于特定实体的其他类(例如,粉丝专页,评论,聚合者) 实体。 特征生成器为候选者生成实体特定的特征。 根据其特征,一个或多个分类器为特定实体的特定类别的每个候选者排名。

    Large scale entity-specific resource classification
    3.
    发明授权
    Large scale entity-specific resource classification 有权
    大规模实体专有资源分类

    公开(公告)号:US09317613B2

    公开(公告)日:2016-04-19

    申请号:US12764694

    申请日:2010-04-21

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30867

    摘要: A system and method is described for large scale entity-specific classification of each entity-specific set of candidates in a collection of candidates for each specific entity in a collection of entities. The collection of entities may comprise a specific category or domain of entities (e.g. schools, restaurants, manufacturers, products, events, people). Candidates may comprise webpages or other resources with resource identifiers. Entity specific sets of candidates may be found by leveraging search engine query results and user interaction therewith for queries based on entity-specific attributes. The relationship(s) or class(es) for which candidate resources are being classified relative to a specific entity may comprise an authoritative, official home page (OHP), or other class (e.g. fan page, review, aggregator) relative to a specific entity. A feature generator generates entity-specific features for candidates. In accordance with its features, one or more classifiers rank each candidate for a specific class for a specific entity.

    摘要翻译: 描述了用于在实体集合中的每个特定实体的候选集合中的每个实体特定的候选者集合的大规模实体特定分类的系统和方法。 实体的收集可以包括实体(例如学校,餐馆,制造商,产品,事件,人)的特定类别或领域。 候选人可以包括具有资源标识符的网页或其他资源。 可以通过利用搜索引擎查询结果和与其进行用户交互来查找基于实体特定属性的查询来找到实体特定的候选者集合。 候选资源相对于特定实体被分类的关系或类可以包括权威的官方主页(OHP)或相对于特定实体的其他类(例如,粉丝专页,评论,聚合者) 实体。 特征生成器为候选者生成实体特定的特征。 根据其特征,一个或多个分类器为特定实体的特定类别的每个候选者排名。

    User Behavior-Driven Background Cache Refreshing
    4.
    发明申请
    User Behavior-Driven Background Cache Refreshing 有权
    用户行为驱动的后台缓存刷新

    公开(公告)号:US20130159274A1

    公开(公告)日:2013-06-20

    申请号:US13332340

    申请日:2011-12-20

    IPC分类号: G06F12/08 G06F17/30

    摘要: Methods and system for providing social feeds from a plurality of third party sites to a user at a host site includes retrieving one or more access logs capturing online behavior of the user. The access logs are analyzed to determine the user's interactive behavioral pattern related to social feeds from each of the plurality of third party sites. A refresh schedule for the user is computed to refresh cache entries of social feeds at the host site based on the analysis of the user's online behavior at the social feeds. Cache entries of social feeds for the user are refreshed at the host site from the one or more of the plurality of third party sites at an allotted time specified by the refresh schedule.

    摘要翻译: 用于从多个第三方站点向主机站点的用户提供社交馈送的方法和系统包括检索捕获用户的在线行为的一个或多个访问日志。 分析访问日志以确定与来自多个第三方站点中的每一个的社交馈送相关的用户的交互行为模式。 计算用户的刷新时间表,用于根据用户在社交Feed上的在线行为的分析来刷新主机站点的社交Feed的缓存条目。 在由刷新时间表指定的分配时间的情况下,在主机站点从多个第三方站点中的一个或多个站点刷新用户的社交馈送的缓存条目。