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METHOD FOR PROVIDING SCALABLE COLLABORATIVE FILTERING FRAMEWORK WITH OVERLAPPED INFORMATION

机译:信息重叠的可伸缩协同过滤框架的提供方法

摘要

PURPOSE: A method for providing an efficient cooperation filtering framework by using overlapped information is provided to calculate similarity between users by using scores of items rated by the users. CONSTITUTION: Similarity calculation target users are selected from all users(510). The similarity calculation target users grant scores to items to which a query user grants a score. The similarity of the query user of the similarity calculation target users is calculated(520). A user having a similar tendency to the query user is recommended from the selected users based on the calculated similarity(530). A list of all users is arranged in power of the calculated similarity and upper users are recommended from the list. [Reference numerals] (510) Select similarity calculation target users; (520) Calculate similarities to a query user; (530) Recommend one or more users with a similar tendency to the query user; (531) Arrange a list of all users; (532) Recommend a predetermined number of upper users; (540) Identify an item granted with scores in common; (550) Calculate the denominator value of similarity; (551) Select an item, a multiplied value of which is not calculated; (552) Calculate the multiplied value of the selected item; (553) Add the calculated multiplied value to the numerator of the similarity; (560) Calculate the denominator of the similarity; (AA) Start; (BB) End
机译:目的:提供一种通过使用重叠信息提供有效合作过滤框架的方法,以通过使用用户评分的项目分数来计算用户之间的相似度。构成:从所有用户中选择相似度计算目标用户(510)。相似度计算目标用户将得分授予查询用户授予得分的项目。计算相似度计算目标用户的查询用户的相似度(520)。基于计算出的相似度,从选择的用户中推荐具有与查询用户相似的趋势的用户(530)。根据计算出的相似度排列所有用户的列表,并从列表中推荐上位用户。 [参考数字](510)选择相似度计算目标用户; (520)计算与查询用户的相似度; (530)推荐一个或多个与查询用户具有相似倾向的用户; (531)排列所有用户的列表; (532)推荐预定数量的上层用户; (540)确定具有共同分数的项目; (550)计算相似度的分母值; (551)选择一个不计算其乘数值的项目; (552)计算所选项目的相乘值; (553)将计算出的相乘值加到相似度的分子上; (560)计算相似度的分母; (AA)开始; (BB)结束

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