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Being the information nomination manner which it reflects on the selection criteria

机译:是反映在选择标准上的信息提名方式

摘要

Provided is an information recommendation system capable of recommending an unexpected item which a user is interested in but cannot assume easily. A server gives one or more times of initial recommendations of recommending information by a means of a user profile and a behavior history, and narrows down secondary recommended items to recommend next by using not only information relating to items having responses but also information relating to items having no response together. In narrowing down, the items are arranged by means of an item arrangement program by using the results of the initial recommendations, and it is identified depending on similarity by means of a boundary calculation program where the boundary between user's interest and uninterest is positioned in all the items. Then, it is identified where items not recommended yet are positioned in user's interest/uninterest the areas, and items in the vicinity of the boundary between the interest and uninterest are determined as the secondary recommended items which are not uninterested and maximize unexpectedness.
机译:提供了一种信息推荐系统,该信息推荐系统能够推荐用户感兴趣但不能轻易承担的意外项目。服务器通过用户简档和行为历史给出一次或多次推荐信息的初始推荐,并且不仅通过使用与具有响应的信息有关的信息,而且还通过与信息有关的信息来缩小次要推荐信息的范围以进行下一步推荐。一起没有反应。在缩小范围时,通过使用初始推荐的结果通过项目布置程序来对项目进行布置,并且通过边界计算程序根据相似性来识别项目,在边界计算程序中,用户的兴趣和不兴趣之间的边界位于所有这几项。然后,识别出不推荐的项目位于用户感兴趣/不感兴趣的区域中的位置,并且将感兴趣和不感兴趣之间的边界附近的项目确定为次要推荐项目,这些次要推荐项目不是不感兴趣并且使意外最大化。

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