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A Review on Recommender System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 82 - Number 3 |
| Year of Publication: 2013 |
| Authors: L. Anitha, M. Kavitha Devi, P. Anjali Devi |
10.5120/14098-2115
|
L. Anitha, M. Kavitha Devi, P. Anjali Devi . A Review on Recommender System. International Journal of Computer Applications. 82, 3 ( November 2013), 27-31. DOI=10.5120/14098-2115
Abstract
A statistics reveals that the number of people selling goods over the internet has increased by more than 100percent since 2006. Almost everyone depend on the internet for everything such as reading newspapers, magazines, books and for searching research papers, to buy latest models of all gadgets and also for entertainment like hearing songs, watching movies, and for food recipes. The internet has changed the way of living. The reason behind this is 73% time consuming and still finding exactly what we need from information available is a tedious. We expect someone to recommend the best from huge data that fulfill ones need, tastes, behavior, interest etc. The "Information Overload"- term was first coined by Alvin Toffler in his book named "Future Shock" in 1970 which is one of major issue the internet facing today. To address this issue and provide users best recommendations a System is developed called Recommender System. Recommender System applies various Data Mining methodologies to recommend efficiently for all active users based on their interest, preferences and ratings given for previous items and even based on similar users. In this paper we also analyze various issues and evaluation metrics used to measure the performance of the Recommender System.
References
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