Research on Several Recommendation Algorithms
Hua Quan ping, Ming Xiang · Procedia Engineering · 2012
To recommend products to users according to their interests, research on recommended systems was carried on widely. Recommended systems were introduced in this paper. Four main recommend technologies such as collaborative filtering recommendation, recommendation based on contents and so on were mentioned. Advantages and disadvantages of these mentioned recommendations technology were provided. Hot topics in personalized recommendation research were emphasized. Then, existing problems on personalized recommendation were analyzed. Future research challenges facing personalized recommendation system were presented in the end.