Application and Research of E-commerce Recommendation System Based on Web Mining
Xu Yan, Bo Sun
Available Online August 2016.
- https://doi.org/10.2991/icassr-15.2016.149How to use a DOI?
- e-commerce, web mining, recommendation system, problems and development
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xu Yan AU - Bo Sun PY - 2016/08 DA - 2016/08 TI - Application and Research of E-commerce Recommendation System Based on Web Mining BT - 3d International Conference on Applied Social Science Research (ICASSR 2015) PB - Atlantis Press SP - 531 EP - 534 SN - 1951-6851 UR - https://doi.org/10.2991/icassr-15.2016.149 DO - https://doi.org/10.2991/icassr-15.2016.149 ID - Yan2016/08 ER -