E-commerce Recommendation Algorithm Based on Multi-level Association Rules

Autor: ShuiYuan Huang, LongZhen Duan
Rok vydání: 2012
Předmět:
Zdroj: Advances in Intelligent and Soft Computing ISBN: 9783642286544
DOI: 10.1007/978-3-642-28655-1_76
Popis: With the rapid development of the E-commerce, recommendation system and algorithm has become the relevant research hotspot.In this paper, we proposed a new recommendation algorithm, based on Multi-level Association Rules (MAR). The algorithm improves the precision and individuation degree of the recommendation,and significantly reduces the time needed for the recommendation. It mines the rule of the customer’s choice of commodity, by using multi-level association rule, builds a model for choice prediction.
Databáze: OpenAIRE