Record Details

Enhanced Hybrid Recommender System using Social Friend Network

International Journal of Management and Information Technology

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Field Value
 
Title Enhanced Hybrid Recommender System using Social Friend Network
 
Creator A. Patil, Shalmali
Pagare, Reena
 
Description Lots of people employ recommender systems to diminish the information overload over the internet. This leads the user in a personalized manner to hit upon interesting or helpful objects in a huge space of possible options. Amongst different techniques, Collaborative filtering recommender system has pulled off great success. But this technique pays no heed towards the social relationship of the users. This problem gave birth to the Social recommender system technology which possesses the capability to recognize user’s likings and preferences and their social relationships. In this paper, we present novel method where we combine collaborative filtering recommender system with social friend network to use social relationships. For this, we have made use of data related to users which provides their interests as well as their social relationship. Our method helps to find the friends with dissimilar tastes and determine the close friends amongst direct friends of targeted user which has more similar tastes. This proposed approach resulted in more precise and realistic results than traditional system.
 
Publisher CIRWORLD
 
Date 2015-06-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://cirworld.com/index.php/ijmit/article/view/627ijmit
10.24297/ijmit.v10i4.627
 
Source INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY; Vol 10 No 4 (2014); 2023-231
2278-5612
 
Language eng
 
Relation https://cirworld.com/index.php/ijmit/article/view/627ijmit/pdf_27