Recommender systems have become a popular technique and strategy for helping users select desirable products or services. Most research in this area focused on applying the method to help the customers in Business-to-Customer (B2C) electronic commerce (e-commerce), however, the participants in Business- to-Business (B2B) market can also get useful assistance from the recommender system. In this article we discuss the application of recommender system to B2B e-commerce. First, we examine how recommender system help B2B participants do transactions easier, then we design an effective system framework for the B2B e-commerce's recommender system based on B2B business practices and business intelligence; and then, we define the model components and processes; in the end, the ongoing challenges of the application will be discussed.
Zhang, Xuirui and Wang, Hengshan
"Study on Recommender Systems for Business-To-Business Electronic Commerce,"
Communications of the IIMA: Vol. 5
, Article 8.
Available at: https://scholarworks.lib.csusb.edu/ciima/vol5/iss4/8