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1. 发明授权

US06606619B2 Computer processes for selecting nodes to call to attention of a user during browsing of a hierarchical browse structure 有权
标题翻译：用于在浏览分层浏览结构期间选择节点以呼叫用户的计算机进程
公开(公告)号：US06606619B2
公开(公告)日：2003-08-12
申请号：US10208337
申请日：2002-07-29
申请人： Ruben E. Ortega , Joel R. Spiegel , Lauri E. Bortscheller
发明人： Ruben E. Ortega , Joel R. Spiegel , Lauri E. Bortscheller
IPC分类号： G06F1730
CPC分类号： G06F3/0482 , G06F17/30873 , G06Q30/02 , G06Q30/0623 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935 , Y10S707/99937 , Y10S707/99945
摘要： A computer-implemented process identifies specific nodes within a browse tree or other hierarchical browse structure based on historical actions of online users, and calls such nodes to the attention of users during navigation of the browse structure. The system and method are particularly useful for assisting users in locating popular products and/or product categories within a catalog of an online merchant, but may be used in connection with browse structures used to locate other types of items. In one embodiment, node popularity levels are determined periodically (e.g., once per day) based on user activity data that represents users' affinities for such nodes (items and/or item categories). Popular nodes are called to the attention of users, preferably by automatically “elevating” such nodes for display within the browse tree. The node elevation process may also be used to elevate nodes that are predicted to be of interest to a particular user.
摘要翻译：计算机实现的过程基于在线用户的历史动作识别浏览树或其他分层浏览结构中的特定节点，并且在浏览结构的导航期间呼叫这些节点以引起用户的注意。该系统和方法对于帮助用户在在线商家的目录中定位流行的产品和/或产品类别是特别有用的，但是可以与用于定位其他类型的商品的浏览结构结合使用。在一个实施例中，基于表示用户对这种节点（项目和/或项目类别）的亲和力的用户活动数据周期性（例如，每天一次）来确定节点流行度级别。热门节点被称为用户的注意，最好是通过自动“升高”这样的节点来显示在浏览树中。节点升高过程也可用于提升预测为特定用户感兴趣的节点。

2. 发明授权

US06489968B1 System and method for exposing popular categories of browse tree 有权
标题翻译：暴露流行类浏览树的系统和方法
公开(公告)号：US06489968B1
公开(公告)日：2002-12-03
申请号：US09442677
申请日：1999-11-18
申请人： Ruben E. Ortega , Joel R. Spiegel , Lauri E. Bortscheller
发明人： Ruben E. Ortega , Joel R. Spiegel , Lauri E. Bortscheller
IPC分类号： G09G500
CPC分类号： G06F3/0482 , G06F17/30873 , G06Q30/02 , G06Q30/0623 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99935 , Y10S707/99937 , Y10S707/99945
摘要： A computer-implemented process identifies popular nodes (items and/or item categories) within a browse tree or other hierarchial browse structure based on historical actions of online users, and calls such nodes to the attention of users during navigation of the browse tree. The system and method are particularly useful for assisting users in locating popular products and/or product categories within a catalog on an online merchant, but may be used with browse structures for navigating other types of content. Node popularity levels are determined periodically (e.g. once per day) based on recent user activity data that reflects users' affinities for specific nodes. Popular nodes are called to the attention of users, preferably by automatically “elevating” such nodes for display within the browse tree. The node elevation process may also be used to elevate nodes that are predicted to be of interest to a user, regardless of node popularity levels.
摘要翻译：计算机实现的过程基于在线用户的历史动作识别浏览树或其他分层浏览结构中的流行节点（项目和/或项目类别），并且在浏览树的导航期间呼叫这些节点以引起用户的注意。该系统和方法对于帮助用户在在线商家的目录中定位流行的产品和/或产品类别特别有用，但是可以与用于导航其他类型的内容的浏览结构一起使用。基于反映用户对特定节点的亲和力的最新用户活动数据，定期地（例如每天一次）确定节点流行度级别。热门节点被称为用户的注意，最好是通过自动“升高”这样的节点来显示在浏览树中。节点提升过程也可用于提升预测为用户感兴趣的节点，而不考虑节点流行度级别。

3. 发明授权

US06466918B1 System and method for exposing popular nodes within a browse tree 有权
标题翻译：在浏览树中暴露流行节点的系统和方法
公开(公告)号：US06466918B1
公开(公告)日：2002-10-15
申请号：US09443013
申请日：1999-11-18
申请人： Joel R. Spiegel , Lauri E. Bortscheller , Ruben E. Ortega
发明人： Joel R. Spiegel , Lauri E. Bortscheller , Ruben E. Ortega
IPC分类号： G06F1760
CPC分类号： G06F17/30873 , G06Q30/02 , G06Q30/0201 , G06Q30/0641 , Y10S707/99943
摘要： A computer-implemented system and method are provided for identifying popular nodes within a browse tree or other hierarchical browse structure based on historical actions of online users, and for calling such nodes to the attention of users during navigation of the browse tree. The system and method are particularly useful for assisting users in locating popular products and/or product categories within a catalog of an online merchant, but may be used in connection with browse structures used to locate other types of items. Node popularity levels are determined periodically (e.g., once per day) based on recent user activity data that represents users' affinities for such nodes. Such activity data may include, for example, the number of times each item was purchased, and/or the number of times each category was selected for display, within a selected period of time. Popular nodes are called to the attention of users by automatically “elevating” the nodes for display within the browse tree. For example, when a user selects a particular non-leaf category (a category that contains subcategories) for viewing, the most popular items corresponding to the selected category may be displayed (together with the immediate subcategories), allowing the user to view or directly access these items without having to navigate to lower levels of the browse tree (and particularly those associated with leaf categories). Subcategories may be elevated for display in a similar manner. The node elevation process may also be used to elevate items and/or categories that are predicted to be of interest to a user, regardless of popularity. In a preferred embodiment, both popular items are leaf categories are elevated on a user-specific basis using a combination of user-specific and non-user-specific activity data.
摘要翻译：提供了一种基于计算机实现的系统和方法，用于基于在线用户的历史动作识别浏览树或其他分层浏览结构中的流行节点，并且在浏览树的导航期间呼叫这些节点以引起用户的注意。该系统和方法对于帮助用户在在线商家的目录中定位流行的产品和/或产品类别是特别有用的，但是可以与用于定位其他类型的商品的浏览结构一起使用。基于表示用户对这些节点的亲和力的最新用户活动数据，定期（例如，每天一次）确定节点流行度级别。在所选择的时间段内，这样的活动数据可以包括例如每个项目被购买的次数和/或每个类别被选择用于显示的次数。通过自动“升高”节点以在浏览树中显示，呼叫用户注意流行节点。例如，当用户选择用于查看的特定非叶类别（包含子类别的类别）时，可以显示与所选类别相对应的最流行的项目（连同直接子类别），允许用户查看或直接访问这些项目，而不必浏览到较低级别的浏览树（特别是与叶类别相关联的页面）。可以提升子类别以类似的方式显示。节点升高过程也可以用于提升预测为用户感兴趣的项目和/或类别，而不管流行度如何。在优选实施例中，使用特定于用户的活动数据和非用户特定的活动数据的组合，在用户特定的基础上提升两个流行的项目叶类别。

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