Study on recommendation algorithm based on multi-level association rules

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.