A Survey on Filtering Techniques for Recommendation System
Janisa Gosbel Pereira, Shubha Tiwari, Sheetal Ajoy · 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) · 2020
The advancement of technology in recent years have caused a tremendous development in the ecommerce industry. With the growth in ecommerce, recommendation systems have gained importance in research. The recommendation system is based on different filtering techniques to provide appropriate personalized suggestions to the user. In this paper we focus on the analysis of the commonly used filtering techniques of recommendation system and provide a comparison of these techniques.