Title :
E-commerce recommendation system based on CBR and web log mining
Author :
Wang, Ya-min ; Han, Xue-ling ; Liu, Xiao-wei
Author_Institution :
Sch. of Econ. & Manage., Xidian Univ., Xi´´an, China
Abstract :
The recommendation service is an important part of E-commerce. After analyzing the feasibility to combine CBR (Case-based Reasoning) and web log mining with recommendation system in E-commerce, we integrate the two techniques into E-commerce recommendation system effectively, and propose a framework for the recommendation system adopting B/S structure and design thought of multi-layer. The key technologies of the proposed framework are also given.
Keywords :
Internet; case-based reasoning; data mining; electronic commerce; recommender systems; B/S structure; CBR; Web log mining; case-based reasoning; e-commerce recommendation system; Association rules; Cognition; Databases; Filtering; Organizations; CBR; E-commerce; Recommendation System; Web Log Mining;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035165
