Comparative Study on Modern Approaches of Recommender System
About this article
DOI:
https://doi.org/10.14419/ijet.v7i4.6.20237Keywords:
Data mining, Recommender System, Filtering ApproachesAbstract
Recommender system is a kind of tool for filtering information and items of user interest. There are large number of different approaches for filtering data and information. In this paper a comparative study is made on different modern approaches in particular. All the modern approaches along with traditional recommender systems are listed and explained with their merits and demerits. Some common challenges are also addressed in this context.
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