公开(公告)号：US07644075B2

公开(公告)日：2010-01-05

申请号：US11756740

申请日：2007-06-01

申请人： Hua-Jun Zeng ,  Hua Li ,  Jian Hu ,  Han Peng ,  Zheng Chen ,  Jian Wang

发明人： Hua-Jun Zeng ,  Hua Li ,  Jian Hu ,  Han Peng ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  Y10S707/99935

摘要： A method and system for assessing keyword usage based on frequency of usage of the keywords during various periods is provided. A keyword usage measurement system is provided with the frequency of keywords during various periods. The measurement system then calculates a recent usage score for a keyword by combining a frequency impulse score for the keyword with a frequency weight for the keyword. The frequency impulse score for a keyword indicates whether a recent change in the frequency of the keyword has occurred. The frequency weight for a keyword indicates a recent measure of the frequency of the keyword.

摘要翻译： 提供了一种基于各种期间关键词使用频率来评估关键字使用的方法和系统。 关键字使用测量系统在不同时期提供关键字的频率。 然后，测量系统通过将关键字的频率脉冲得分与该关键字的频率权重组合来计算关键字的最近使用分数。 关键字的频率脉冲得分指示是否发生了关键字的频率的最近的改变。 关键字的频率权重表示最近对关键字频率的度量。

公开(公告)号：US07594013B2

公开(公告)日：2009-09-22

申请号：US11136029

申请日：2005-05-24

申请人： Jian Wang ,  Hua-Jun Zeng ,  Chenxi Lin ,  Zheng Chen ,  Benyu Zhang ,  Bing Sun

发明人： Jian Wang ,  Hua-Jun Zeng ,  Chenxi Lin ,  Zheng Chen ,  Benyu Zhang ,  Bing Sun

IPC分类号： G06F15/173

CPC分类号： G06F17/3089

摘要： A method of creating a personal home page containing information of interest assembled from various web sites. The method includes the partitioning of web pages into web blocks. Users may collect various web blocks from different web pages and utilize those web blocks to define the dynamic personal homepage. In addition, the web blocks may be tracked to update content in the personal home page based on corresponding changes in the original web page.

摘要翻译： 一种创建个人主页的方法，该个人主页包含从各种网站组装的感兴趣的信息。 该方法包括将网页划分成网页块。 用户可以从不同的网页收集各种网页块，并利用这些网页块定义动态个人主页。 此外，可以基于原始网页中的相应变化来跟踪网页块以更新个人主页中的内容。

公开(公告)号：US20090222321A1

公开(公告)日：2009-09-03

申请号：US12147468

申请日：2008-06-26

申请人： Ning Liu ,  Jun Yan ,  Zheng Chen ,  Jian Wang

发明人： Ning Liu ,  Jun Yan ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06Q30/0202 ,  G06F16/951 ,  G06F2216/03

摘要： Disclosed is a system and method that allows a computer system the ability to predict what query terms in a search will be popular. The system creates a unified model that determines the future popularity of a query term over a period of time in the future. The unified model averages the results of three different prediction models to obtain a prediction of the future popularity of a query term. The prediction from the unified model is compared against a threshold value of popularity over a time period. When the predicted popularity of the query exceeds the threshold the term is stored. In some embodiments the period that the term exceeds the threshold may also be stored.

摘要翻译： 公开了一种系统和方法，其允许计算机系统预测搜索中的哪些查询术语将是流行的能力。 该系统创建一个统一的模型，确定未来一段时间内查询词的未来流行度。 统一模型对三种不同预测模型的结果进行平均，以获得对查询词的未来流行度的预测。 将统一模型的预测与一段时间内的人气阈值进行比较。 当查询的预测流行度超过阈值时，该项被存储。 在一些实施例中，术语超过阈值的周期也可以被存储。

公开(公告)号：US20090193047A1

公开(公告)日：2009-07-30

申请号：US12020574

申请日：2008-01-28

申请人： Weizhu Chen ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang ,  Dou Shen

发明人： Weizhu Chen ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang ,  Dou Shen

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： The claimed subject matter is directed to constructing query hierarchies in response to a query request. To construct a query hierarchy, a list of related candidate queries is generated in response to the received query request. The list of related candidate queries is generated by determining the relative coverage of information shared by the candidate queries and the query request. Relationships between the submitted query request and the candidate queries in the list are determined based upon the extent of relative coverage of information shared by the candidate queries and the query request. A query hierarchy is then constructed to reflect the determined relationships between the query request and the candidate queries.

摘要翻译： 所要求保护的主题涉及响应于查询请求构建查询层次结构。 为了构建查询层次结构，响应于接收的查询请求生成相关候选查询的列表。 通过确定候选查询和查询请求共享的信息的相对覆盖率来生成相关候选查询的列表。 基于候选查询和查询请求共享的信息的相对覆盖范围确定列表中提交的查询请求与候选查询之间的关系。 然后构建查询层次结构以反映所确定的查询请求和候选查询之间的关系。

公开(公告)号：US20080288348A1

公开(公告)日：2008-11-20

申请号：US11803461

申请日：2007-05-15

申请人： Huajun Zeng ,  Chenxi Lin ,  Dingyi Han ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Huajun Zeng ,  Chenxi Lin ,  Dingyi Han ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0254 ,  G06Q30/0256 ,  G06Q30/0263 ,  G06Q30/0277

摘要： A method for ranking online advertisements using retailer reputation and product reputation. In one implementation, a query may be received. Advertisements may be selected by determining a level of relevance between the query and each advertisement and selecting the advertisements with a level of relevance above a pre-determined level of relevance. A predicted reputation for a retailer and a predicted reputation for a product may be retrieved for each of the selected advertisements. The selected advertisements may then be ranked based on the predicted reputation for the retailer and the predicted reputation of the product. The ranking of the selected advertisements may be accomplished by calculating a ranking score for each selected advertisement based on the retailer predicted reputation and the product predicted reputation. The selected advertisements may then be displayed according to the ranking.

摘要翻译： 使用零售商信誉和产品信誉对在线广告进行排名的方法。 在一个实现中，可以接收查询。 可以通过确定查询和每个广告之间的相关性级别并且选择具有相关性水平高于预定相关性水平的广告来选择广告。 可以为每个选定的广告检索零售商的预测声誉和产品的预测声誉。 所选择的广告然后可以基于零售商的预测信誉和产品的预测声誉进行排名。 所选择的广告的排名可以通过基于零售商预测的声誉和产品预测的声誉来计算每个所选广告的排名得分来实现。 然后可以根据排名显示所选择的广告。

公开(公告)号：US20080126411A1

公开(公告)日：2008-05-29

申请号：US11535160

申请日：2006-09-26

申请人： Dong Zhuang ,  Benyu Zhang ,  Heng Zhang ,  Jeremy Tantrum ,  Teresa B. Mah ,  Hua-Jun Zeng ,  Zheng Chen ,  Jian Wang

发明人： Dong Zhuang ,  Benyu Zhang ,  Heng Zhang ,  Jeremy Tantrum ,  Teresa B. Mah ,  Hua-Jun Zeng ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F7/00

CPC分类号： G06Q30/02 ,  G06Q10/04

摘要： A system, method, computer-readable media, and related techniques are disclosed for predicting demographic information of a user. A social link network is created and a search request for demographic information related to a first user within the social link network is received. The requested demographic information based on the demographic information of other users connected to the first user within the social link network is provided.

摘要翻译： 公开了一种用于预测用户的人口统计信息的系统，方法，计算机可读介质和相关技术。 创建社交链接网络，并且接收与社交链路网络内的第一用户相关的针对人口统计信息的搜索请求。 提供了基于在社交网络中连接到第一用户的其他用户的人口统计信息的请求的人口统计信息。

公开(公告)号：US20080065623A1

公开(公告)日：2008-03-13

申请号：US11796818

申请日：2007-04-30

申请人： Hua-Jun Zeng ,  Shen Huang ,  Zheng Chen ,  Jian Wang

发明人： Hua-Jun Zeng ,  Shen Huang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/3071 ,  G06F17/30696

摘要： Described is a technology for disambiguating data corresponding to persons that are located from search results, so that different persons having the same name can be clearly distinguished. Name entity extraction locates words (terms) that are within a certain distance of persons' names in the search results. The terms are used in disambiguating search results that correspond to different persons having the same name, such as location information, organization information, career information, and/or partner information. In one example, each person is represented as a vector, and similarity among vectors is calculated based on weighting that corresponds to nearness of the terms to a person, and/or the types of terms. Based on the similarity data, the person vectors that represent the same person are then merged into one cluster, so that each cluster represents (to a high probability) only one distinct person.

摘要翻译： 描述了一种用于消除对应于从搜索结果定位的人的数据的技术，使得可以清楚地区分具有相同名称的不同的人。 名称实体提取查找搜索结果中某人距离内的单词（术语）。 这些术语用于消除与具有相同名称的不同人员相对应的搜索结果，例如位置信息，组织信息，职业信息和/或合作伙伴信息。 在一个示例中，每个人被表示为向量，并且基于对应于对人的术语的接近度的加权和/或术语的类型来计算向量之间的相似性。 基于相似性数据，代表同一个人的人物向量然后被合并成一个群集，使得每个群集只代表一个不同的人。

公开(公告)号：US20070239554A1

公开(公告)日：2007-10-11

申请号：US11377480

申请日：2006-03-16

申请人： Chenxi Lin ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Zheng Chen ,  Benyu Zhang ,  Jian Wang

发明人： Chenxi Lin ,  Gui-Rong Xue ,  Hua-Jun Zeng ,  Zheng Chen ,  Benyu Zhang ,  Jian Wang

IPC分类号： G06Q30/00

CPC分类号： G06F17/30867 ,  G06Q30/0212 ,  G06Q30/0601 ,  G06Q30/0631

摘要： Methods for determining a predictive rating are disclosed. In an embodiment, an active user is compared to a set of clusters. One or more of the clusters are determined to be most similar to the active user. From the one or more clusters, K users are determined to be most similar to the active user. Prior ratings for an item by the K users may be used to predict a rating for the item for the active user.

摘要翻译： 公开了确定预测等级的方法。 在一个实施例中，将活动用户与一组集群进行比较。 集群中的一个或多个被确定为与活动用户最相似。 从一个或多个集群中，K个用户被确定为与活动用户最相似。 K用户对某项目的先前评级可用于预测活动用户的项目评级。

公开(公告)号：US20070239431A1

公开(公告)日：2007-10-11

申请号：US11392763

申请日：2006-03-30

申请人： Chenxi Lin ,  Jie Han ,  Guirong Xue ,  Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

发明人： Chenxi Lin ,  Jie Han ,  Guirong Xue ,  Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

IPC分类号： G06F17/27

CPC分类号： G06F17/2785

摘要： A scalable two-pass scalable probabilistic latent semantic analysis (PLSA) methodology is disclosed that may perform more efficiently, and in some cases more accurately, than traditional PLSA, especially where large and/or sparse data sets are provided for analysis. The improved methodology can greatly reduce the storage and/or computational costs of training a PLSA model. In the first pass of the two-pass methodology, objects are clustered into groups, and PLSA is performed on the groups instead of the original individual objects. In the second pass, the conditional probability of a latent class, given an object, is obtained. This may be done by extending the training results of the first pass. During the second pass, the most likely latent classes for each object are identified.

摘要翻译： 公开了一种可扩展的双向可伸缩概率潜在语义分析（PLSA）方法，其可以比传统的PLSA更有效地执行，在某些情况下可以更准确地执行，特别是在提供大数据集和/或稀疏数据集用于分析的情况下。 改进的方法可以大大降低培训PLSA模型的存储和/或计算成本。 在双路方法的第一遍中，对象被聚集成组，并且PLSA在组而不是原始的单个对象上执行。 在第二遍中，获得给定对象的潜在类的条件概率。 这可以通过扩展第一遍的训练结果来完成。 在第二遍期间，识别每个对象最可能的潜在类。

公开(公告)号：US11585892B1

公开(公告)日：2023-02-21

申请号：US16862102

申请日：2020-04-29

申请人： Jonathon D. Spaulding ,  Gregory E. Rogers ,  Jian Wang

发明人： Jonathon D. Spaulding ,  Gregory E. Rogers ,  Jian Wang

IPC分类号： G01S7/40 ,  H01Q3/26 ,  G01S13/89

摘要： A method includes generating emitted signals using transmitter elements and measuring received signals using receiver elements. The received signals are reflected portions of the emitted signals and the received signals correspond to one or more targets. The method also includes applying a first matched filter to the received signals to determine range information for the received signals, filtering the received signals based on the range information to define filtered signals, and determining calibration parameters using the filtered signals. The method also includes correcting the received signals using the calibration parameters to define calibrated signals and determining angle of arrival information for the received signals using the calibrated signals.