A Recommender system for Finding Products from Next Door Virtual manufacturer or Supplier: A conceptual Study

Abstract

Electronic Commerce (EC) platform which is widely known as E-Marketplace handles milion of transaction over internet. While individual user of E-marketplace frequently interact with a shorter supply chain Business-to-Business (B2B) users, on the other hand, manage multiply interaction with multiple layers of partners such as manufacturers or suppliers. This Complexity, However, introduces problem of information overloan where the user only require pertinent of information based on their interest. Although recomender system (RSs) are widely used in resolving such problems, the current RSs in the literature are still suffering several limitations, such as overspecialised recommendation, and scalability issues. Moreover, there is an urgency to introduce manufacturing companies or suppliers to online business buyers within to trade with the shortest path between the users.The papers present a conceptual idea of the B2B recommendation model to present potentially usefull product to virtual manufacturers or suppliers to business users. The concept highlighted the effectiveness of social network information for the recommender to alleviate the current issues of RSs to support the complexity introduced in the B2B enviroment.