Work place: of Engineering & Technology Ghaziabad 201206, Uttar Pradesh, India
E-mail: varsha327@gmail.com
Website:
Research Interests: Data Mining, Data Compression, Data Structures and Algorithms
Biography
Ms. Varsha is M. Tech. Scholar in Computer Science and Engineering department at Krishna Institute of Engineering & Technology Ghaziabad, India. She has completed her B. Tech in Information Technology from Dr. K. N. Modi Institute of Engineering and Technology, Ghaziabad, India. Her research interests are Web Mining and Data Mining.
DOI: https://doi.org/10.5815/ijieeb.2018.04.05, Pub. Date: 8 Jul. 2018
Recommendation system plays an essential role in searching any information from World Wide Web. Recommender system handles Information straining problem and improve customer correlation by providing best services. It suggests items or services to users according to their interest, navigation behavior or demographic information. This paper performs a survey on different approaches available for recommender system and performs a comparative analysis of different algorithms. Further, a discussion about various application areas has been done. At the end, issues and challenges in recommender systems have been discussed.
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