摘要

As a new branch of data mining, web mining emerge as social requires, it belongs to a new research direction. Web mining is to find potential useful model and hidden information from web documents. It combines the use of web and traditional data mining. The use of web mining in the e-commerce recommendation system can meet the demands of future development of e-commerce. This paper analyzes the background of the use of web mining in e-commerce recommendation system, and establishes a recommendation-system model based on veracity and efficiency. It also describes each module in the model exactly and how they connect with each other, and has a deep research on several important recommendation algorithms; At last it raises the problems and directions of the e-commerce recommendation technology.