E-commerce personalized recommender system based on web mining
Hongxia Zhang · Journal of Liaoning Technical University · 2009
In this paper,an E-commerce recommending system model based on web mining is presented to solve the problem in the current E-commerce recommending system.The model uses the recommending technology that unifies user Web log clustering and collaborative filtering,which can solve the sparse data and cold start problems and enhance the accuracy and validity of the results recommended.