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  • 标题:Visualization in Argument Based Recommender System
  • 本地全文:下载
  • 作者:Preeti ; Ankit Rajpal ; Purnima Khurana
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:1352-1357
  • 出版社:TechScience Publications
  • 摘要:Recommender systems are information filters which are being used to overcome the problem of information overload. The opinion of other users of the system is used to help individuals identify the item which might be of their interest or relevant to their needs. Visualization in Recommender systems have gained an increasing importance in last few years. We have observed the lack of research in visualization in an argument based recommender system. Data visualization is a visual presentation of data and their interrelationship. In this paper, we have proposed an argument based recommender system which uses hybrid approach in which two results: trustworthy users and arguments occurred between user agent and recommender agent is visualized, using D3 tool. The experimental study shows that two results of our system can be better presented by graph visualization
  • 关键词:Visualization; Recommender System;Trustworthy; Argumentation
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