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首页> 外文期刊>Journal of Information and Organizational Sciences >A Novel Rule based Data Mining Approach towards Movie Recommender System
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A Novel Rule based Data Mining Approach towards Movie Recommender System

机译：基于新的基于规则的电影推荐系统的数据挖掘方法

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摘要

The proposed research work is an effort to provide accurate movie recommendations to a group of users with the help of a rule-based content-based group recommender system. The whole approach is categorized into 2 phases. In phase 1, a rule- based approach has been proposed which considers the users’ viewing history to provide the Rule Base for every individual user. In phase 2, a novel group recommendation system has been proposed which considers the ratings of the movies as per the rule base generated in phase 1. Phase 2 also considers the weightage of every individual member of the group to provide the accurate movie recommendation to that particular group of users. The results of experimental setup also establish the fact that the proposed system provides more accurate outcomes in terms of precision and recall over other rule learning algorithms such as C4.5.
机译：拟议的研究工作是在基于规则的基于内容的组推荐系统的帮助下为一群用户提供准确的电影建议。整个方法被分为2个阶段。在第1阶段，已经提出了一种基于规则的方法，该方法考虑了用户的观看历史，为每个单独的用户提供规则基础。在第2阶段，提出了一种新型组推荐系统，该制度考虑了电影的评级，根据第1阶段生成的规则基础.2阶段2也考虑了本集团每个个人成员的重量，以提供准确的电影推荐特定的用户组。实验设置的结果还建立了所提出的系统在精确度和召回的其他规则学习算法中提供更准确的结果，例如C4.5。

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