A Product Catalog-based Multi-level Association Recommendation Algorithm
Yang Pei · Jisuanji gongcheng · 2004
In this article, a multi-level association recommendation algorithm is proposed. Combined with product catalogs, the algorithm can automatically sel ect optimal matching granularity and make recommendation based on frequent items ets. The experimental results show that it greatly enhances online performance a nd quality. It can be successfully applied to personalization service in e-comme rce.