A Hybrid Approach for Movie Recommendation System Using Feature Engineering

摘要

Recommender system is used to recommend items and services to the users and provide recommendations based on prediction. The prediction performance plays vital role in the quality of recommendation. To improve the prediction performance, this paper proposed a new hybrid method based on naïve Bayesian classifier with Gaussian correction and feature engineering. The proposed method is experimented on the well known movie lens 100k data set. The results show better results when compared with existing methods.