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System and method for finding unexpected, but relevant content in an information retrieval system

机译:在信息检索系统中查找意外但相关内容的系统和方法

摘要

An improved method for information retrieval in web query and recommendation systems, where items that are likely unfamiliar to the users of the system, but potentially relevant, are recommended. In a recommendation system having ratings by a plurality of users for a plurality of items, items are assigned to one or more data regions based on item attributes or user activity. Source regions are identified for each of the data regions. For a given user, data regions with which both the user and the user's social network are unfamiliar are identified. Within a given data region, the relevance of items to the user within such regions is evaluated using ratings provided by other users who have entered ratings similar to the user in source regions for the data region. Items receiving the highest relevance score are recommended to the user.
机译:Web查询和推荐系统中信息检索的一种改进方法,其中推荐系统用户可能不熟悉但可能相关的项目。在具有多个用户对多个项目的评分的推荐系统中,基于项目属性或用户活动将项目分配给一个或多个数据区域。为每个数据区域标识源区域。对于给定的用户,识别用户和用户的社交网络都不熟悉的数据区域。在给定的数据区域内,使用由其他用户提供的评估来评估项目在此类区域内与用户的相关性,这些用户输入的评估类似于该数据区域的源区域中的用户。向用户推荐相关分数最高的项目。

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