公开(公告)号：US20120166438A1

公开(公告)日：2012-06-28

申请号：US12977942

申请日：2010-12-23

申请人： Huming Wu ,  Siva Gurumurthy ,  Hang Su

发明人： Huming Wu ,  Siva Gurumurthy ,  Hang Su

IPC分类号： G06F17/30

CPC分类号： G06F17/3064

摘要： Systems and methods for identifying candidate queries related to a trending topic based on a user query are described. A trending topic identification module identifies topics trending in one or more real-time content sources. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. A query recommendation module suggests at least one candidate query in response to receiving a user query. The query recommendation module obtains the at least one candidate query by comparing words and named entities of the user query with words and named entities associated with the trending topics identified by the trending topic identification module.

摘要翻译： 描述了基于用户查询来识别与趋势主题相关的候选查询的系统和方法。 趋势主题识别模块识别一个或多个实时内容源中的趋势趋势。 实时内容源可以包括例如微博帖子或其他用户生成的数据源，新闻馈送等。 响应于接收用户查询，查询推荐模块建议至少一个候选查询。 查询推荐模块通过将用户查询的单词和命名实体与由趋势主题识别模块识别的趋势主题相关联的单词和命名实体进行比较来获得至少一个候选查询。

公开(公告)号：US20130110823A1

公开(公告)日：2013-05-02

申请号：US13282017

申请日：2011-10-26

申请人： Hang Su ,  Siva Gurumurthy ,  Huming Wu

发明人： Hang Su ,  Siva Gurumurthy ,  Huming Wu

IPC分类号： G06F17/30

CPC分类号： G06F16/9535

摘要： Systems and methods for providing content associated with trending topics relevant to a user are described. An interest detection module identifies topics trending in one or more real-time content sources that are relevant to a user. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. The topics trending that are relevant to the user are identified by comparing a search history of the user with one or more trending topics stored in a database. A content retriever module is configured to return one or more documents to the user in response to identifying the one or more topics trending that are relevant to the user.

摘要翻译： 描述用于提供与用户相关的趋势主题相关联的内容的系统和方法。 兴趣检测模块识别与用户相关的一个或多个实时内容源中的趋势趋势。 实时内容源可以包括例如微博帖子或其他用户生成的数据源，新闻馈送等。 通过将用户的搜索历史与存储在数据库中的一个或多个趋势主题进行比较来识别与用户相关的趋势。 内容检索器模块被配置为响应于识别与用户相关的一个或多个主题倾向而将一个或多个文档返回给用户。

公开(公告)号：US08990241B2

公开(公告)日：2015-03-24

申请号：US12977942

申请日：2010-12-23

申请人： Huming Wu ,  Siva Gurumurthy ,  Hang Su

发明人： Huming Wu ,  Siva Gurumurthy ,  Hang Su

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/3064

摘要： Systems and methods for identifying candidate queries related to a trending topic based on a user query are described. A trending topic identification module identifies topics trending in one or more real-time content sources. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. A query recommendation module suggests at least one candidate query in response to receiving a user query. The query recommendation module obtains the at least one candidate query by comparing words and named entities of the user query with words and named entities associated with the trending topics identified by the trending topic identification module.

摘要翻译： 描述了基于用户查询来识别与趋势主题相关的候选查询的系统和方法。 趋势主题识别模块识别一个或多个实时内容源中的趋势趋势。 实时内容源可以包括例如微博帖子或其他用户生成的数据源，新闻馈送等。 响应于接收用户查询，查询推荐模块建议至少一个候选查询。 查询推荐模块通过将用户查询的单词和命名实体与由趋势主题识别模块识别的趋势主题相关联的单词和命名实体进行比较来获得至少一个候选查询。

公开(公告)号：US10776431B2

公开(公告)日：2020-09-15

申请号：US13282017

申请日：2011-10-26

申请人： Hang Su ,  Siva Gurumurthy ,  Huming Wu

发明人： Hang Su ,  Siva Gurumurthy ,  Huming Wu

IPC分类号： G06F16/9535

摘要： Systems and methods for providing content associated with trending topics relevant to a user are described. An interest detection module identifies topics trending in one or more real-time content sources that are relevant to a user. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. The topics trending that are relevant to the user are identified by comparing a search history of the user with one or more trending topics stored in a database. A content retriever module is configured to return one or more documents to the user in response to identifying the one or more topics trending that are relevant to the user.