Hybrid recommendation algorithm combining user interest change
Wei Wang · Jisuanji gongcheng yu sheji · 2010
After studying the drawbacks of two kinds of widely used recommendation systems,collaborative filtering and content-based prediction,a novel hybrid recommender system is presented. This recommendation method takes into account the important factor that user interests changes over time. This recommended method with a wide field of application,can be used for products recommendation,books recommendation,movies recommendation,and so on. The experimental results on movie recommendation demonstrate that this method is effective over conventional methods.