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    • 5. 发明申请
    • Predicting demographic attributes based on online behavior
    • 基于在线行为预测人口统计特征
    • US20070208728A1
    • 2007-09-06
    • US11366526
    • 2006-03-03
    • Benyu ZhangHonghua DaiHua-Jun ZengLi QiTarek NajmTeresa MahVladimir ShipunovYing LiZheng Chen
    • Benyu ZhangHonghua DaiHua-Jun ZengLi QiTarek NajmTeresa MahVladimir ShipunovYing LiZheng Chen
    • G06F17/30
    • G06F16/337G06F16/951
    • This invention provides a system and method for predicting user demographic attributes for non-registered users and users with incomplete profiles. The invention uses demographic information from registered users and user search history logs to create a database of information that associates the users' search history habits with their demographic attributes. The invention creates a first database that associates users' search query history with their demographic attributes, and also creates a second database that associates web pages that users have visited frequently along with the users' demographic attributes. The invention can compare the searching and browsing habits of non-registered users and users with incomplete profiles to the searching and browsing habits of registered users. Through the comparison, the invention can use the corresponding demographic attributes of the registered users to predict the demographic attributes of the non-registered users and the registered users with incomplete profiles.
    • 本发明提供一种用于预测非注册用户和具有不完整简档的用户的用户人口统计属性的系统和方法。 本发明使用来自注册用户和用户搜索历史日志的人口统计信息来创建将用户的搜索历史习惯与其人口统计属性相关联的信息数据库。 本发明创建了将用户的搜索查询历史与其人口统计属性相关联的第一数据库,并且还创建了将用户经常访问的网页与用户的人口统计属性一起关联的第二数据库。 本发明可以将注册用户和注册用户不完整的用户的搜索和浏览习惯与注册用户的搜索和浏览习惯进行比较。 通过比较,本发明可以使用注册用户的相应人口统计特性来预测非注册用户和具有不完整简档的注册用户的人口统计属性。
    • 7. 发明申请
    • VISUALIZATION APPLICATION FOR MINING OF SOCIAL NETWORKS
    • 可视化社会网络采矿申请
    • US20080104225A1
    • 2008-05-01
    • US11555279
    • 2006-11-01
    • Heng ZhangBenyu ZhangTeresa MahDong ZhuangJeremy TantrumYing Li
    • Heng ZhangBenyu ZhangTeresa MahDong ZhuangJeremy TantrumYing Li
    • G06F15/173G06F15/177
    • H04L67/306G06Q50/01H04L67/36
    • A social network visualization and mining system that includes a visualization application for mining social networks of users in an online social network. This visualization can be used to mine the social network for additional information and intelligence. The social network is displaying in graphical form, such as a node-link graph, with a center node representing the social network of a user being examined, and secondary nodes represent the primary user's friends. Lines represent links between the primary user and his friends, while various visualization features such as line thickness, line color, and text size are used to easily identify the type of relationship between users. The system also includes a topics visualization module, which builds and displays a social network based on a certain topic or keyword that is entered by the application user. A demographic prediction module examines a user's social network to predict demographics of users.
    • 一种社交网络可视化和挖掘系统,其中包括在在线社交网络中挖掘用户社交网络的可视化应用程序。 这种可视化可用于挖掘社交网络以获取更多信息和智能。 社交网络以图形形式显示,例如节点链接图,中心节点表示正在检查的用户的社交网络,次要节点表示主要用户的朋友。 线代表主要用户和他的朋友之间的链接,而各种可视化功能(如线条粗细,线条颜色和文字大小)用于轻松识别用户之间的关系类型。 该系统还包括主题可视化模块,其基于由应用程序用户输入的某个主题或关键字构建和显示社交网络。 人口统计预测模块检查用户的社交网络以预测用户的人口统计。
    • 8. 发明申请
    • System and method for deriving and visualizing business intelligence data
    • 用于导出和可视化商业智能数据的系统和方法
    • US20060085434A1
    • 2006-04-20
    • US10953183
    • 2004-09-30
    • Teresa MahYing LiBenyu Zhang
    • Teresa MahYing LiBenyu Zhang
    • G06F7/00
    • G06F16/958G06F2216/03
    • A system and method are provided for deriving business intelligence (BI) data and exploring the derived data. The system may include a business intelligence engine and a business intelligence visualizer. The BI engine may be responsible for deriving or discovering fact summary data. The fact summary data may include aggregated or trend data in addition to the dimension or measure data. The BI engine may include components for determining fact summary data such as “What's Hot” and “What's Not Hot”. The components of the BI engine may include an algorithm for automatically generating “hotness scores” for members of dimensions or combinations of dimensions. The BI visualizer provides a chart node tree display for user exploration.
    • 提供了一种用于导出商业智能(BI)数据和探索派生数据的系统和方法。 该系统可以包括商业智能引擎和商业智能可视化器。 BI引擎可能负责导出或发现事实汇总数据。 除了尺寸或测量数据之外,事实摘要数据可以包括聚合或趋势数据。 BI引擎可能包括用于确定事实汇总数据的组件,例如“What's Hot”和“What Hot Not”。 BI引擎的组件可以包括用于为尺寸或尺寸的组合的成员自动生成“热度分数”的算法。 BI可视化器提供用于用户探索的图表节点树显示。