Open AccessComparative Study on Modern Approaches of Recommender System
Author(s) -
Arpana Prasad,
N. Sambasiva Rao,
Katta Subba Rao,
B. V. S. Lakshmi
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.6.20237
Subject(s) - recommender system , computer science , context (archaeology) , collaborative filtering , information retrieval , geography , archaeology
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.