International Journal of Information Engineering and Electronic Business(IJIEEB)
ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)
Published By: MECS Press
IJIEEB Vol.10, No.4, Jul. 2018
Survey on Personalized Web Recommender System
Full Text (PDF, 566KB), PP.33-40
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.
Cite This Paper
Santosh Kumar, Varsha," Survey on Personalized Web Recommender System", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.10, No.4, pp. 33-40, 2018. DOI: 10.5815/ijieeb.2018.04.05
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