DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
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Issue |
Volume-4, Issue-12 ( Dec, 2016 ) | |||||||||
Paper Title |
Keyword Based User Profiling for News Recommendation | |||||||||
Author Name |
Aadhithya Sankar, Ela Nilavazhagan | |||||||||
Affilition |
Department of CSE, Sri Sairam Engineering College, Chennai, Tamilnadu, India | |||||||||
Pages |
64-67 | |||||||||
Abstract |
News Recommendation is increasingly being deployed by online news publishers. Recommender Systems are used as a way to deal with information overload and to increase page views. Collaborative filtering and content based filtering are two common approaches used in recommendation systems. In this paper, we propose a News Recommendation System Model that uses keywords obtained from the articles to profile the user. We then use a collaborative filtering model to generate recommendations to the users. Coping with ever changing user interests is also a major challenge for recommendation system. This model also proposes a decay function to deal with such a challenge. Index Terms— Recommender Systems, Time Based, Keywords, Collaborative Filtering, Matrix Factorization | |||||||||
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