wangg12 发表于2011-12-27 10:19
This paper presents an overview of the field of recommender systems and describes the current
generation of recommendation methods that are usually classified into the following three main
categories: content-based, collaborative, and hybrid recommendation approaches. This paper
also describes various limitations of current recommendation methods and discusses possible
extensions that can improve recommendation capabilities and make recommender systems
applicable to an even broader range of applications. These extensions include, among others,
an improvement of understanding of users and items, incorporation of the contextual information
into the recommendation process, support for multcriteria ratings, and a provision of more flexible
and less intrusive types of recommendations.
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