Survey on personalized web recommender system

Survey on personalized web recommender system

Автор: Santosh Kumar, Varsha

Журнал: International Journal of Information Engineering and Electronic Business @ijieeb

Статья в выпуске: 4 vol.10, 2018 года.

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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.

Recommendation System, Navigation Behavior, demographic information

Короткий адрес: https://sciup.org/15016141

IDR: 15016141   |   DOI: 10.5815/ijieeb.2018.04.05

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