文章基本信息

标题：Social Voting Techniques: A Comparison of the Methods Used for Explicit Feedback in Recommendation Systems
作者：Carlos E. Montenegro Marin ; Oscar Sanjuan Martinez ; Juan Manuel Cueva Lovelle 等
期刊名称：International Journal of Interactive Multimedia and Artificial Intelligence
印刷版ISSN：1989-1660
出版年度：2011
卷号：1
页码：61-66
出版社：ImaI-Software
摘要：Web recommendation systems usually brings a content list to users based on previous ratings made by them to other similar contents through some social voting mean. This paper aims to present a comparison of the main explicit rating methods used by web recommendation systems. The goal of this survey is to determine which of the studied methods fits better to user preferences when they rate a content on the web; based on the obtained results, a recommendation system can be implemented using an explicit feedback method to achieve this goal.