文章基本信息

标题：Recommendation Diversity using Optimization Techniques and Ranking Method
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作者：S.Manimekalai ; V.Kathiresan ; P.Sumathi 等
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2013
卷号：2
期号：9
页码：2721-2727
出版社：IJECS
摘要：Recommender systems is becomes popular and used in many fields for gathering the information based on theuser requirements. It is mainly used to help the user for accessing the process based on the relevant information. Manyframework for recommendation systems based on the different algorithms are revolve around the concept of accuracy onlybut other important feature such as diversity of the recommendations are unnoticed. In this paper efficient optimizationtechnique along with the novel ranking technique is proposed for providing more diverse recommendations by satisfying therequirements recommendation features. The proposed algorithm is compared with the existing item based ranking techniqueand simulated with many real world data sets
关键词：Recommender systems; Collaborative filtering; Optimization technique; Novel ranking technique