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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 1, JANUARY 2017

A Community Detection and Recommendation System

Kashmira Nagwekar, Prof. Kavita Shirsat

DOI: 10.17148/IJARCCE.2017.6102

Abstract: Recommendation systems play an important role in suggesting relevant information to users. Community-wise social interactions form a new dimension for recommendations. A social recommendation system using community detection approaches is proposed. I will be using community detection algorithm to extract friendship relations among users by analysing user-user social graph. I will be developing the approach using MapReduce framework. This approach will improve scalability, coverage and cold start issue of collaborative filtering based recommendation system.



Keywords: Community Detection; Recommendation System; Cold-Start; E-Commerce.

How to Cite:

[1] Kashmira Nagwekar, Prof. Kavita Shirsat, “A Community Detection and Recommendation System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6102