User Preference-oriented Collaborative Recommendation Algorithm in E-commerce

摘要

Collaborative recommendation is a key issuetoday in e-commerce, which helps users find theinformation of products which they are interested in fromthe mass of information. Aiming at the problem in aninsufficient personalization of e-commerce recommendationsystem ， a user preference-oriented network model isestablished in the paper. Related theories and techniques ofclustering are used to analyze the extracted preferences ofthe users. Finally, combined with the traditionalcollaborative filtering method, the paper proposed the userpreference-oriented collaborative recommendationalgorithm. The experimental results show that compared tothe traditional collaborative filtering algorithm, userpreference-oriented collaborative recommendationalgorithm can effectively improve the efficiency of ecommercerecommendation system in ensuring the accuracyof the premise.