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AUTOMATIC DETERMINATION OF TYPICAL FOR ARTISTS RELEVANCY OF RECOMMENDATIONS IN SOCIAL NETWORK

机译:自动确定艺术家推荐社交网络中的典型性

摘要

FIELD: information technology.;SUBSTANCE: invention relates to an operation method of a recommendation system. Idea of the invention is automatic training of the user in a social network aimed at explaining which recommendations of the user contacts also being members of the social network are relevant with respect to the category, in which the user is interested. Instructional algorithm is used to interpret feedback from the user in response to reception of recommendations from his/her contacts. Thus, for each combination of a contact and category there can be determined a "relevancy-taste" index. Certain "relevancy-taste" index is filtered. Only such recommendations are provided to the users associated "relevancy-taste" indices of which satisfy the filtration criterion. So, it becomes possible to considerably reduce the number of irrelevant recommendations presented to the user.;EFFECT: technical result consists in reduction of the number of irrelevant recommendations presented to the user.;14 cl, 2 dwg, 1 tbl
机译:推荐系统的操作方法技术领域本发明涉及推荐系统的操作方法。发明内容本发明的思想是在社交网络中对用户进行自动训练,旨在解释与该用户感兴趣的类别相关的,也是社交网络成员的用户联系人的推荐是否相关。指令算法用于响应于来自他/她的联系人的推荐的接收来解释来自用户的反馈。因此,对于联系人和类别的每种组合,可以确定“相关性-品味”指数。某些“相关性-味道”索引被过滤。仅将这样的推荐提供给用户,其相关的“相关性-味道”指数满足过滤标准。因此,可以显着减少向用户显示的不相关建议的数量。效果:技术成果在于减少向用户显示的不相关建议的数量。14cl,2 dwg,1 tbl

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