公开(公告)号：US20110179017A1

公开(公告)日：2011-07-21

申请号：US12690184

申请日：2010-01-20

申请人： CHRISTOPHER AVERY MEYERS ,  GOPI PRASHANTH GOPAL ,  ANDREW PETER OAKLEY ,  NITIN AGRAWAL ,  NICHOLAS ERIC CRASWELL ,  MILAD SHOKOUHI ,  DERRICK LESLIE CONNELL ,  SANAZ AHARI ,  NEIL BRUCE SHARMAN ,  GAURAV SAREEN ,  HUGH EVAN WILLIAMS ,  JAY KUMAR GOYAL

发明人： CHRISTOPHER AVERY MEYERS ,  GOPI PRASHANTH GOPAL ,  ANDREW PETER OAKLEY ,  NITIN AGRAWAL ,  NICHOLAS ERIC CRASWELL ,  MILAD SHOKOUHI ,  DERRICK LESLIE CONNELL ,  SANAZ AHARI ,  NEIL BRUCE SHARMAN ,  GAURAV SAREEN ,  HUGH EVAN WILLIAMS ,  JAY KUMAR GOYAL

IPC分类号： G06F17/30 ,  G06F21/00 ,  G06Q30/00

CPC分类号： G06F17/30448 ,  G06Q30/0254

摘要： Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.

摘要翻译： 提供了方法，系统和媒体，用于识别和聚集正在日益普及的查询。 可以使用文本和时间相关性将所产生的聚类查询与其他存储的查询进行比较。 搜索包含最近爬取的内容源的信息和结果的新索引以获取最近的查询活动。 还搜索历史索引以获得与聚集查询流匹配的时间相关信息和结果。 可以计算穗的加权平均加速度，以区分合法穗和非合法穗。 合法集群与其他存储的集群组合，并以分组的内容结果呈现给用户输出设备。

公开(公告)号：US20120130969A1

公开(公告)日：2012-05-24

申请号：US12949462

申请日：2010-11-18

申请人： SANDY WONG ,  RAVIPAL SINGH SOIN ,  MAREK FRANCISZEK LATUSKIEWICZ ,  JUN YIN ,  DERRICK LESLIE CONNELL ,  ANDREW WILSON SHUMAN

发明人： SANDY WONG ,  RAVIPAL SINGH SOIN ,  MAREK FRANCISZEK LATUSKIEWICZ ,  JUN YIN ,  DERRICK LESLIE CONNELL ,  ANDREW WILSON SHUMAN

IPC分类号： G06F17/30

CPC分类号： G06F16/9535

摘要： Methods, systems, and computer-readable media for providing an enhanced search experience to a user by determining a user's presumptive intentions for an ongoing search session. A user's activities during the search session reveal clues to the user's intent for the search session. Embodiments of the present invention assign values to various context characteristics by analyzing the user's activities during a search session. The context characteristics describe different manifestations of user intent revealed by the user's actions. Embodiments of the present invention distribute the context information to applications that consume the context information and provide enhanced search results. This allows multiple context-based applications to have access to context information without accessing signal data or needing to independently process the signal data to determine an intent of the search session.

摘要翻译： 方法，系统和计算机可读介质，用于通过确定用户对正在进行的搜索会话的推测意图来向用户提供增强的搜索体验。 搜索会话期间的用户活动显示用户对搜索会话意图的线索。 本发明的实施例通过在搜索会话期间分析用户的活动来为各种上下文特征分配值。 上下文特征描述了用户行为揭示的用户意图的不同表现形式。 本发明的实施例将上下文信息分配给消费上下文信息并提供增强搜索结果的应用。 这允许多个基于上下文的应用程序在不访问信号数据的情况下访问上下文信息，或者需要独立地处理信号数据以确定搜索会话的意图。

公开(公告)号：US08150841B2

公开(公告)日：2012-04-03

申请号：US12690184

申请日：2010-01-20

申请人： Christopher Avery Meyers ,  Gopi Prashanth Gopal ,  Andrew Peter Oakley ,  Nitin Agrawal ,  Nicholas Eric Craswell ,  Milad Shokouhi ,  Derrick Leslie Connell ,  Sanaz Ahari ,  Neil Bruce Sharman ,  Gaurav Sareen ,  Hugh Evan Williams ,  Jay Kumar Goyal

发明人： Christopher Avery Meyers ,  Gopi Prashanth Gopal ,  Andrew Peter Oakley ,  Nitin Agrawal ,  Nicholas Eric Craswell ,  Milad Shokouhi ,  Derrick Leslie Connell ,  Sanaz Ahari ,  Neil Bruce Sharman ,  Gaurav Sareen ,  Hugh Evan Williams ,  Jay Kumar Goyal

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30448 ,  G06Q30/0254

摘要： Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.

摘要翻译： 提供了方法，系统和媒体，用于识别和聚集正在日益普及的查询。 可以使用文本和时间相关性将所产生的聚类查询与其他存储的查询进行比较。 搜索包含最近爬取的内容源的信息和结果的新索引以获取最近的查询活动。 还搜索历史索引以获得与聚集查询流匹配的时间相关信息和结果。 可以计算穗的加权平均加速度，以区分合法穗和非合法穗。 合法集群与其他存储的集群组合，并以分组的内容结果呈现给用户输出设备。