公开(公告)号：US10685065B2

公开(公告)日：2020-06-16

申请号：US14385274

申请日：2012-03-17

申请人： Zhaohui Zheng ,  Xin Li ,  Rongqing Lu ,  Shuanghong Yang

发明人： Zhaohui Zheng ,  Xin Li ,  Rongqing Lu ,  Shuanghong Yang

IPC分类号： G06F16/9032 ,  G06F16/9535 ,  G06Q30/02 ,  G06N5/04

摘要： Method, system, and programs for recommending content to a user. First information related to one or more previous users is first obtained. A model that maps from users to topics of interest is then established based on the first information related to the one or more previous users. Second information related to the current user is also obtained. One or more topics of interest are identified for the current user based on the model. Content is recommended to the current user in accordance with the one or more topics of interest for the current user. Eventually, an updated model is generated by integrating information associated with the current user with the model established based on the first information related to the one or more previous users. The information associated with the current user includes the second information related to the current user.

公开(公告)号：US10019518B2

公开(公告)日：2018-07-10

申请号：US12577045

申请日：2009-10-09

申请人： Jiang Chen ,  Wei Chu ,  Zhenzhen Kou ,  Zhaohui Zheng

发明人： Jiang Chen ,  Wei Chu ,  Zhenzhen Kou ,  Zhaohui Zheng

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F16/951

摘要： Methods and systems are disclosed that relate to ranking functions for multiple different domains. By way of example but not limitation, ranking functions for multiple different domains may be trained based on inter-domain loss, and such ranking functions may be used to rank search results from multiple different domains so that they may be blended without normalizing relevancy scores.

公开(公告)号：US09536003B2

公开(公告)日：2017-01-03

申请号：US14385220

申请日：2012-03-17

申请人： Zhaohui Zheng ,  Rongqing Lu ,  Xin Li

发明人： Zhaohui Zheng ,  Rongqing Lu ,  Xin Li

IPC分类号： G06F17/30 ,  G06F7/00 ,  G06F21/62

CPC分类号： G06F17/30696 ,  G06F17/30011 ,  G06F17/30312 ,  G06F17/30619 ,  G06F17/30702 ,  G06F17/30705 ,  G06F17/30864 ,  G06F17/30867 ,  G06F21/6245

摘要： Method, system, and programs for hybrid information query. A request is first received from a user associated with a hybrid query. The hybrid query is expressed in accordance with an input in terms of one of a user, a feature, and a document, and a desired hybrid query result in terms of one of a user, a feature, and a document. A mapping is then determined between the input and the desired hybrid query result. A hybrid model is established based on hybrid information collected and associated with one or more users. The mapping is performed based on the hybrid model to obtain the desired hybrid query result based on the input. Eventually, the desired hybrid query result is provided as a response to the hybrid query.

摘要翻译： 混合信息查询的方法，系统和程序。 首先从与混合查询相关联的用户接收到请求。 根据用户，特征和文档之一的输入以及用户，特征和文档之一的期望的混合查询结果来表示混合查询。 然后在输入和期望的混合查询结果之间确定映射。 基于收集并与一个或多个用户相关联的混合信息建立混合模型。 基于混合模型进行映射，以基于输入获得所需的混合查询结果。 最终，期望的混合查询结果作为对混合查询的响应被提供。

公开(公告)号：US08583502B2

公开(公告)日：2013-11-12

申请号：US12838169

申请日：2010-07-16

申请人： Narayanan Sadagopan ,  Zhaohui Zheng

发明人： Narayanan Sadagopan ,  Zhaohui Zheng

IPC分类号： G06Q30/00

CPC分类号： G06F17/30867 ,  G06F17/30657 ,  G06F17/30684 ,  G06Q30/02 ,  G06Q30/0641

摘要： A server determines a plurality of immediate candidate items for a first web page to recommend to a user. For each particular immediate candidate item of the plurality of immediate candidate items, the server determines a separate sequence of two or more subsequent possible candidate items for subsequent web pages to recommend to the user in the event that the user selects the particular immediate candidate item. Further, the server selects a particular immediate candidate item from the plurality of immediate candidate items for the first web page to recommend to the user. The first web page that recommends the plurality of immediate candidate items is generated and sent over the Internet to the user.

摘要翻译： 服务器确定用于第一网页的多个即时候选项目以推荐给用户。 对于多个即时候选项目中的每个特定即时候选项目，服务器确定用于后续网页的两个或更多个后续可能候选项目的单独序列，以在用户选择特定直接候选项目的情况下推荐给用户。 此外，服务器从第一网页的多个直接候选项目中选择特定的即时候选项目以向用户推荐。 建立多个即时候选项目的第一网页通过因特网生成并发送给用户。

公开(公告)号：US20130297688A1

公开(公告)日：2013-11-07

申请号：US13463109

申请日：2012-05-03

申请人： Zhaohui Zheng

发明人： Zhaohui Zheng

IPC分类号： G06F15/16

CPC分类号： G06Q50/01 ,  G06Q30/0205 ,  G06Q30/0282 ,  G06Q30/0631

摘要： Performing an on-line recommendation includes: analyzing real-time data from various sources; determining, from the analysis, events in which a user may be interested; extracting the determined events; storing the extracted events in a data store; and performing a recommendation function. The recommendation function includes: ranking the extracted events to determine the events in which the user is most likely to be interested; and performing location-based filtering, retaining those extracted events that are within a geo-location range proximate to the user, thus generating optimal events.

摘要翻译： 执行在线建议包括：分析来自各种来源的实时数据; 从分析中确定用户可能感兴趣的事件; 提取确定的事件; 将所提取的事件存储在数据存储器中; 并执行推荐功能。 推荐功能包括：对提取的事件进行排名，以确定用户最有可能感兴趣的事件; 并且执行基于位置的过滤，保留在靠近用户的地理位置范围内的提取的事件，从而产生最佳事件。

公开(公告)号：US08429027B2

公开(公告)日：2013-04-23

申请号：US12941842

申请日：2010-11-08

申请人： Zhaohui Zheng

发明人： Zhaohui Zheng

IPC分类号： G06Q30/00

CPC分类号： G06Q50/01 ,  G06Q30/02

摘要： Particular embodiments extract a plurality of users, a plurality of establishments, and a plurality of items from dining information provided by at least one of the plurality of users, each of the plurality of establishments sells food or beverage; construct a user-establishment matrix, a user-item matrix, and an establishment-item matrix using the plurality of users, the plurality of establishments, and the plurality of items; generate a user latent representation for the plurality of users, an establishment latent representation for the plurality of establishments, and an item latent representation for the plurality of items; and compute one or more correlations using the user latent representation, the establishment latent representation, or the item latent representation, wherein each of the one or more correlations is between two users, two establishments, two items, one user and one establishment, one of user and one item, or one establishment and one item.

摘要翻译： 具体实施例从多个用户中的至少一个提供的餐饮信息中提取多个用​​户，多个机构和多个项目，多个机构中的每一个销售食品或饮料; 使用所述多个用户，所述多个机构和所述多个项目来构建用户建立矩阵，用户项目矩阵和建立项目矩阵; 为所述多个用户生成用户潜在表示，所述多个机构的企业潜在表示以及所述多个项目的项目潜在表示; 并且使用所述用户潜在表示，所述建立潜在表示或所述项目潜在表示来计算一个或多个相关性，其中所述一个或多个相关性中的每一个在两个用户，两个机构，两个项目，一个用户和一个机构之间， 用户和一个项目，或一个企业和一个项目。

公开(公告)号：US20120042020A1

公开(公告)日：2012-02-16

申请号：US12857000

申请日：2010-08-16

申请人： Pranam Kolari ,  Ruiqiang Zhang ,  Yi Chang ,  Anlei Dong ,  Zhaohui Zheng ,  Lei Duan

发明人： Pranam Kolari ,  Ruiqiang Zhang ,  Yi Chang ,  Anlei Dong ,  Zhaohui Zheng ,  Lei Duan

IPC分类号： G06F15/16

CPC分类号： G06Q10/107

摘要： Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices to provide or otherwise support micro-blog message filtering.

摘要翻译： 公开了可以使用一个或多个计算设备实现以提供或以其他方式支持微博消息过滤的示例性方法，设备或制品。

公开(公告)号：US20120016877A1

公开(公告)日：2012-01-19

申请号：US12835954

申请日：2010-07-14

申请人： Srinivas Vadrevu ,  Yi Chang ,  Zhaohui Zheng ,  Bo Long

发明人： Srinivas Vadrevu ,  Yi Chang ,  Zhaohui Zheng ,  Bo Long

IPC分类号： G06F17/30

CPC分类号： G06F17/30705 ,  G06F17/30011 ,  G06F17/30675 ,  G06F17/30696

摘要： One particular embodiment clusters a plurality of documents using one or more clustering algorithms to obtain one or more first sets of clusters, wherein: each first set of clusters results from clustering the documents using one of the clustering algorithms; and with respect to each first set of clusters, each of the documents belongs to one of the clusters from the first set of clusters; accesses a search query; identifies a search result in response to the search query, wherein the search result comprises two or more of the documents; and clusters the search result to obtain a second set of clusters, wherein each document of the search result belongs to one of the clusters from the second set of clusters.

摘要翻译： 一个特定实施例使用一个或多个聚类算法来聚集多个文档以获得一个或多个第一组聚类，其中：每个第一组聚类是使用聚类算法之一聚类文档而得到的; 并且对于每个第一组集合，每个文档属于来自第一组集合的集群之一; 访问搜索查询; 识别响应于搜索查询的搜索结果，其中所述搜索结果包括所述文档中的两个或更多个; 并且聚集搜索结果以获得第二组聚类，其中搜索结果的每个文档属于来自第二组聚类的聚类中的一个。

公开(公告)号：US20110231380A1

公开(公告)日：2011-09-22

申请号：US12725357

申请日：2010-03-16

申请人： Narayanan Sadagopan ,  Yoshiyuki Inagaki ,  Georges-Eric Albert Marie Robert Dupret ,  Ciya Liao ,  Anlei Dong ,  Yi Chang ,  Zhaohui Zheng

发明人： Narayanan Sadagopan ,  Yoshiyuki Inagaki ,  Georges-Eric Albert Marie Robert Dupret ,  Ciya Liao ,  Anlei Dong ,  Yi Chang ,  Zhaohui Zheng

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： In one embodiment, access one or more query chains, wherein each one of the query chains comprises two or more search queries, {q1, . . . , qn}, which are recency-sensitive, are related to the same subject matter, and are issued to a search engine sequentially, and actual click-through information associated with each one of the query chains; and smooth each one of the query chains using the actual click-through information associated with the query chain. To smooth one of the query chains comprises, for each one of search queries, qj, in the query chain, where 2≦j≦n, if one of the network resources identified for qj has actually been clicked in connection with qj by the corresponding one network user, then presume that the one network resource has been clicked in connection with one or more search queries, qk, in the query chain, where 1≦k

摘要翻译： 在一个实施例中，访问一个或多个查询链，其中每个查询链包括两个或多个搜索查询{q1，...， 。 。 ，qn}，它们是新近度敏感的，与相同的主题相关，并且被顺序地发布到搜索引擎，并且与每个查询链相关联的实际点击信息; 并使用与查询链相关联的实际点击信息来平滑每个查询链。 为了平滑一个查询链，对于查询链中的每个搜索查询，包括qj，其中2＆nlE; j＆nlE; n，如果为qj标识的一个网络资源实际上已经被qj与点对点相关联 一个网络用户，然后假设一个网络资源已被连接到查询链中的一个或多个搜索查询qk，其中1＆nlE; k

公开(公告)号：US20110093459A1

公开(公告)日：2011-04-21

申请号：US12579855

申请日：2009-10-15

申请人： Anlei Dong ,  Yi Chang ,  Ruiqiang Zhang ,  Zhaohui Zheng ,  Gilad Avraham Mishne ,  Jing Bai ,  Karolina Barbara Buchner ,  Ciya Liao ,  Shihao Ji ,  Gilbert Leung ,  Georges-Eric Albert Marie Robert Dupret ,  Ling Liu

发明人： Anlei Dong ,  Yi Chang ,  Ruiqiang Zhang ,  Zhaohui Zheng ,  Gilad Avraham Mishne ,  Jing Bai ,  Karolina Barbara Buchner ,  Ciya Liao ,  Shihao Ji ,  Gilbert Leung ,  Georges-Eric Albert Marie Robert Dupret ,  Ling Liu

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.

摘要翻译： 在一个实施例中，访问包括一个或多个新近度搜索查询和一个或多个新近度搜索结果的一组新近度排序数据，每个新近度搜索查询相对于特定时间段是新近敏感度，并且与查询时间戳相关联 表示在搜索引擎处接收到新近度搜索查询的时间，每个新近度搜索结果由搜索引擎为新近搜索查询之一生成，并且包括一个或多个新近网络资源。 从新近度排序数据集合构建多个新近特征。 通过机器学习，至少使用新特性来训练第一个排名榜。