关键词: 多层关联规则, 协同过滤, 推荐算法, 电子商务

Abstract: A model-based recommendation algorithm was proposed, which uses Multi-level Association Rules (MAR) to alleviate those problems about data sparseness and scalability of the recent recommendation algorithm. In this algorithm, a model for preference prediction was built by using multi-level association rule mining, which is used to compute preferences for items. The experimental results show that performance of the algorithm is superior to other methods.

Key words: multi-level association rules, collaborative filtering, recommendation algorithm, e-commerce