Survey on Hybrid Recommendation System

Authors

  • Jinal S. Chauhan Parul university, Waghodiya, limda,Baroda

Keywords:

Recommendation system, collaborative filtering, content-based filtering, Hybrid filtering, Hybrid recommendation system.

Abstract

Recommender systems are used by an increasing number of e-commerce websites to help the customers to find
suitable products from a large database. The overwhelming amount of data necessitates mechanisms for efficient
information filtering. Recommendation systems (RS) serve the right item to the user in an automated fashion to satisfy
long term objective. Major task of the recommender system is to present recommendations to users. Hybrid
recommendation uses multiple techniques together.

Published

2016-05-25

How to Cite

Survey on Hybrid Recommendation System. (2016). International Journal of Advance Engineering and Research Development (IJAERD), 3(5), 347-351. https://www.ijaerd.org/index.php/IJAERD/article/view/4767

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