The implementation of knowledge-based recommender system for electronic commerce using Java expert system library

This paper deals the design and implementation of product recommender system on a Internet shopping mall. In e-commerce application, sometimes potential buyers may be interested in receiving recommendations about what to purchase. The mainstream of an automated recommender system is collaborative filtering. In this paper, we present a knowledge-based product recommender system. The knowledge base of product domain and inference engine is implemented by JESS (Java expert system shell) and Java servlet. The system gathers the user´s requirements on a particular product by questioning the user and consulting its knowledge base to find the items that best meet the user´s requirement. For the recommender system, the design of product knowledge base are discussed. As a sample implementation, a cellular phone recommender system is built where the system tries to find a phone model that best meets the user´s requirements