NDLI: Type-based context-aware service Recommender System for social network

Content Provider	IEEE Xplore Digital Library
Author	Back Sun Sim Heeseong Kim Kwang Myung Kim Hee Yong Youn
Copyright Year	2012
Description	Author affiliation: School of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea (Back Sun Sim; Heeseong Kim; Kwang Myung Kim; Hee Yong Youn)
Abstract	As social network grows fast recently, numerous services are provided based on it. Here it is difficult for the users to choose a right service if a large number of choices exist. Recommender System (RS) is a software tool providing the suggestions of the items most useful to the user. The existing RSs do not properly consider the social relation of the entities in rating the choices. This paper proposes a new context-aware recommendation scheme which reflects the user type in estimating the closeness between the users in social network, together with the cosine similarity measure. Computer simulation shows that the proposed scheme significantly improves the accuracy of rating compared to the existing ones employing the multi-dimensional paradigm and rough set theory. It also displays that the amount of items recommended by the proposed approach is larger than with the existing approaches.
Starting Page	1
Ending Page	5
File Size	700340
Page Count	5
File Format	PDF
ISBN	9781467315494
e-ISBN	9781467315500
DOI	10.1109/CITS.2012.6220384
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-14
Publisher Place	Jordan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Social network services Collaboration Social network Service Context-awareness Information filtering Mathematical model Recommender systems Equations Recommender system
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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