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2. 发明授权

US06195657B1 Software, method and apparatus for efficient categorization and recommendation of subjects according to multidimensional semantics 失效
标题翻译：根据多维语义对被试进行有效分类和推荐的软件，方法和装置
公开(公告)号：US06195657B1
公开(公告)日：2001-02-27
申请号：US08936726
申请日：1997-09-25
申请人： James L. Rucker , Marcos J. Polanco
发明人： James L. Rucker , Marcos J. Polanco
IPC分类号： G06F1730
CPC分类号： G06F17/3061 , Y10S707/955 , Y10S707/957 , Y10S707/99935
摘要： A system for determining recommendations which are likely to be relevant to a user's current tasks. The determination is made based on the user's grouping behavior as applied to collected references, documents and information objects. The recommendations are with respect to one or more of the “target” user's existing groupings or categories, and can be of information objects, categories of information objects, or other users who have created similar groupings of objects to the target user's groupings. The basis for recommendations is the discovery of “matching” categories for a “target” category, where a matching category is one that includes at least one object also included in the target category. Objects which are in matching categories but not in the target category are candidates for recommendation. In this way the recommendation system aids the target user by taking advantage of objects gathered and grouped by other users over time.
摘要翻译：用于确定可能与用户当前任务相关的建议的系统。该决定是基于用户的分组行为来应用于收集的引用，文档和信息对象。这些建议涉及一个或多个“目标”用户的现有分组或类别，并且可以是信息对象，信息对象的类别或已经向目标用户的分组创建了类似的对象分组的其他用户。建议的基础是发现“目标”类别的“匹配”类别，其中匹配类别是包含目标类别中至少包含一个对象的类别。符合类别但不在目标类别中的对象是推荐的候选人。以这种方式，推荐系统通过利用其他用户随时间收集和分组的对象来帮助目标用户。

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