公开(公告)号：US09424356B2

公开(公告)日：2016-08-23

申请号：US12964092

申请日：2010-12-09

申请人： Walter Sun ,  Junaid Ahmed ,  Yipeng Li ,  Peter Bailey ,  Nikhil Dandekar ,  Sasi Parthasarathy ,  Xin Chen ,  Xiao Zhang

发明人： Walter Sun ,  Junaid Ahmed ,  Yipeng Li ,  Peter Bailey ,  Nikhil Dandekar ,  Sasi Parthasarathy ,  Xin Chen ,  Xiao Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/30312 ,  G06F17/3053 ,  G06F17/30613 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/30876

摘要： Methods, systems, and computer-readable media are provided for updating a search index with new uniform resource locators (URLs) and spiking URLs with increased user interest. History data, provided from browser applications residing on users' computers that indicate URLs accessed by the users, is parsed to identify new/previously unknown URLs. The history data also indicates URLs in which there is increased interest based on a number of recent hits as compared to an average number of hits determined over time. Author postings of new URLs to social networking sites and a quality rating of the authors may also be used to identify and filter new URLs. Search indexes are updated with the new and spiking URL data. As such, lag time between posting of new URLs and spiking of URL interest and inclusion of this data in a search index is greatly decreased.

摘要翻译： 提供了方法，系统和计算机可读介质，用于使用新的统一资源定位符（URL）更新搜索索引和增加用户兴趣的加标URL。 由驻留在用户计算机上的用于指示用户访问的URL的浏览器应用程序提供的历史数据将被解析，以识别新的/以前未知的URL。 与根据随时间确定的平均击球次数相比，历史数据还指示基于最近命中数的兴趣增加的URL。 社交网站的新URL的作者发布和作者的品质评级也可用于识别和过滤新的URL。 搜索索引将使用新的和加标的URL数据进行更新。 因此，新的URL发布之间的滞后时间和URL兴趣的尖峰以及将这些数据包含在搜索索引中的时间大大降低。

公开(公告)号：US10289735B2

公开(公告)日：2019-05-14

申请号：US12768172

申请日：2010-04-27

申请人： Ryen W. White ,  Peter Bailey ,  Nikhil Dandekar ,  Adish Singla ,  Jeff Huang

发明人： Ryen W. White ,  Peter Bailey ,  Nikhil Dandekar ,  Adish Singla ,  Jeff Huang

IPC分类号： G06F17/30

摘要： Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.

公开(公告)号：US20110264673A1

公开(公告)日：2011-10-27

申请号：US12768172

申请日：2010-04-27

申请人： Ryen W. White ,  Peter Bailey ,  Nikhil Dandekar ,  Adish Singla ,  Jeff Huang

发明人： Ryen W. White ,  Peter Bailey ,  Nikhil Dandekar ,  Adish Singla ,  Jeff Huang

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Search and browse trails are temporally-ordered sequences of web pages visited by a user during post-search query navigation beginning with a page associated with one of the search results. The trails can provide useful information for a number of search-related purposes. For example, these trails can be used to leverage the post-query behavior of other users to help the current user search more effectively and allow them to make more informed search interaction decisions. The trails can also be used to establish search results and refine search result rankings, select and evaluate deeplinks, and recommend multi-step trails as an alternative to or enhancement for existing search result presentation techniques.

摘要翻译： 搜索和浏览轨迹是在与搜索结果之一相关联的页面开始的后搜索查询导航期间由用户访问的网页的时间排序的序列。 路线可以为许多与搜索有关的目的提供有用的信息。 例如，这些路径可用于利用其他用户的查询后行为来更有效地帮助当前的用户搜索，并允许他们进行更为明智的搜索交互决策。 跟踪也可用于建立搜索结果，优化搜索结果排名，选择和评估深层链接，并推荐多步骤跟踪作为现有搜索结果呈现技术的替代或增强。

公开(公告)号：US08560561B2

公开(公告)日：2013-10-15

申请号：US12683572

申请日：2010-01-07

申请人： Tabreez Govani ,  Nikhil Dandekar ,  Gheorghe Muresan

发明人： Tabreez Govani ,  Nikhil Dandekar ,  Gheorghe Muresan

IPC分类号： G06F17/30

CPC分类号： G06F17/3087

摘要： User locality information can be used to improve various aspects of search results pages. Queries can be suggested based on the user location while excluding common query suggestions that involve an unrelated geographic entity. Deeplinks can also be modified to include location based suggestions. Additionally, results for specialized searches such as travel searches can be improved by employing user locality information.

摘要翻译： 用户位置信息可用于改进搜索结果页面的各个方面。 可以基于用户位置来建议查询，同时排除涉及不相关地理实体的常见查询建议。 还可以修改深层链接以包括基于位置的建议。 此外，通过使用用户位置信息，可以改善诸如旅行搜索的专门搜索的结果。

公开(公告)号：US08972399B2

公开(公告)日：2015-03-03

申请号：US13531488

申请日：2012-06-22

申请人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

发明人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results.

摘要翻译： 本文描述的各种技术涉及使用社交活动数据来个性化由用户计算操作返回的结果的排名。 对于通过计算操作返回的每个结果，可以计算用户对相应结果的相应第一亲和度和用户对相应结果的相应第二亲和度，并用于对结果进行排名。 可以基于用户的社交活动数据和点击相应结果的第一组历史用户的社交活动数据之间的相关性来计算用户对相应结果的第一亲和度。 此外，可以基于用户的社交活动数据和跳过相应结果的第二组历史用户的社交活动数据之间的相关性来计算用户对相应结果的相应第二亲和度。

公开(公告)号：US20110167077A1

公开(公告)日：2011-07-07

申请号：US12683572

申请日：2010-01-07

申请人： Tabreez Govani ,  Nikhil Dandekar ,  Gheorghe Muresan

发明人： Tabreez Govani ,  Nikhil Dandekar ,  Gheorghe Muresan

IPC分类号： G06F17/30

CPC分类号： G06F17/3087

摘要： User locality information can be used to improve various aspects of search results pages. Queries can be suggested based on the user location while excluding common query suggestions that involve an unrelated geographic entity. Deeplinks can also be modified to include location based suggestions. Additionally, results for specialized searches such as travel searches can be improved by employing user locality information.

摘要翻译： 用户位置信息可用于改进搜索结果页面的各个方面。 可以基于用户位置来建议查询，同时排除涉及不相关地理实体的常见查询建议。 还可以修改深层链接以包括基于位置的建议。 此外，通过使用用户位置信息，可以改善诸如旅行搜索的专门搜索的结果。

公开(公告)号：US20100174703A1

公开(公告)日：2010-07-08

申请号：US12349938

申请日：2009-01-07

申请人： Nikhil Dandekar ,  Michael Cameron ,  Evan Despault

发明人： Nikhil Dandekar ,  Michael Cameron ,  Evan Despault

IPC分类号： G06F17/30

CPC分类号： G06F17/3087

摘要： Computer systems, methods, and media improving the relevance of the search results presented to a user for queries having an implicit local intent are provided. Utilizing the systems and methods described herein locally-biased queries are identified, despite such queries being void of any location-specific terms. A location of a computing device associated with the user is determined and localized web search results associated with the data item pair comprising the input query and the user's determined location are generated and presented to the user.

摘要翻译： 提供了提供具有隐含的本地意图的查询给用户提供的搜索结果的相关性的计算机系统，方法和媒体。 使用本文所描述的系统和方法来识别本地有偏差的查询，尽管这样的查询没有任何位置特定术语。 确定与用户相关联的计算设备的位置，并且生成与包括输入查询和用户确定的位置的数据项对相关联的本地化的网络搜索结果并呈现给用户。

公开(公告)号：US08572074B2

公开(公告)日：2013-10-29

申请号：US13454637

申请日：2012-04-24

申请人： Sanaz Ahari ,  Xiaoxin Yin ,  Farid Hosseini ,  Sarthak Shah ,  Adam Troy ,  Dan Fain ,  Brian MacDonald ,  Nikhil Dandekar ,  Michael Cameron

发明人： Sanaz Ahari ,  Xiaoxin Yin ,  Farid Hosseini ,  Sarthak Shah ,  Adam Troy ,  Dan Fain ,  Brian MacDonald ,  Nikhil Dandekar ,  Michael Cameron

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30864 ,  G06F7/00 ,  G06F17/30 ,  G06F17/30702 ,  G06F17/30867

摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.

摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。

公开(公告)号：US08195653B2

公开(公告)日：2012-06-05

申请号：US12349938

申请日：2009-01-07

申请人： Nikhil Dandekar ,  Michael Cameron ,  Evan Despault

发明人： Nikhil Dandekar ,  Michael Cameron ,  Evan Despault

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/3087

摘要： Computer systems, methods, and media improving the relevance of the search results presented to a user for queries having an implicit local intent are provided. Utilizing the systems and methods described herein locally-biased queries are identified, despite such queries being void of any location-specific terms. A location of a computing device associated with the user is determined and localized web search results associated with the data item pair comprising the input query and the user's determined location are generated and presented to the user.

摘要翻译： 提供了提供具有隐含的本地意图的查询给用户提供的搜索结果的相关性的计算机系统，方法和媒体。 使用本文所描述的系统和方法来识别本地有偏差的查询，尽管这样的查询没有任何位置特定术语。 确定与用户相关联的计算设备的位置，并且生成与包括输入查询和用户确定的位置的数据项对相关联的本地化的网络搜索结果并呈现给用户。

公开(公告)号：US20100299343A1

公开(公告)日：2010-11-25

申请号：US12471116

申请日：2009-05-22

申请人： Sanaz Ahari ,  Xiaoxin Yin ,  Farid Hosseini ,  Sarthak Shah ,  Adam Troy ,  Daniel C. Fain ,  Brian MacDonald ,  Nikhil Dandekar ,  Michael Cameron

发明人： Sanaz Ahari ,  Xiaoxin Yin ,  Farid Hosseini ,  Sarthak Shah ,  Adam Troy ,  Daniel C. Fain ,  Brian MacDonald ,  Nikhil Dandekar ,  Michael Cameron

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06F7/00 ,  G06F17/30 ,  G06F17/30702 ,  G06F17/30867

摘要： Computer-readable media and computerized methods for automatically organizing search results according to task groups are provided. The methods involve aggregating a gallery of entities (e.g., search queries that share a common categorization) into a query class and assigning a dictionary (e.g., list of terms that are drawn from various sources) to the query class. The task groups are identified from the list of terms within the dictionary. The process of identification includes analyzing patterns of user search behavior to select terms from the list of terms, which reflect popular user search intents, and ranking the selected terms based on predetermined parameters to produce an ordering. Based on the ordering, a set of the selected terms that are highest ranked are declared the task groups. The task groups are employed to arrange the search results on a UI display and to provide a consistent and intuitive format for refining a search.

摘要翻译： 提供了根据任务组自动组织搜索结果的计算机可读介质和计算机化方法。 这些方法包括将实体库（例如，共享公共分类的搜索查询）聚合到查询类中并将查询类别的字典（例如，从各种来源绘制的术语列表）分配。 任务组从字典中的术语列表中识别。 识别过程包括分析用户搜索行为的模式以从反映流行用户搜索意图的术语列表中选择术语，并且基于预定参数对所选项进行排序以产生排序。 根据排序，将排列最高的选定术语集合声明为任务组。 任务组被用于在UI显示器上排列搜索结果，并提供一致和直观的格式来完善搜索。