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Proactive Friend Recommendation Method using Social Network in Pervasive Computing Environment  

Kwon, Joon Hee (경기대학교 컴퓨터과학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.9, no.1, 2013 , pp. 43-52 More about this Journal
Abstract
Pervasive computing and social network are good resources in recommendation method. Collaborative filtering is one of the most popular recommendation methods, but it has some limitations such as rating sparsity. Moreover, it does not consider social network in pervasive computing environment. We propose an effective proactive friend recommendation method using social network and contexts in pervasive computing environment. In collaborative filtering method, users need to rate sufficient number of items. However, many users don't rate items sufficiently, because the rating information must be manually input into system. We solve the rating sparsity problem in the collaboration filtering method by using contexts. Our method considers both a static and a dynamic friendship using contexts and social network. It makes more effective recommendation. This paper describes a new friend recommendation method and then presents a music friend scenario. Our work will help e-commerce recommendation system using collaborative filtering and friend recommendation applications in social network services.
Keywords
Recommendation; Collaborative Filtering; Pervasive Computing; Social Network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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