Recommender agent based on social network

Abstract

Conventional collaborative recommendation approaches neglect weak relationships even when they provide important information. This study applies the concepts of chance discovery and small worlds to recommendation systems. The trust (direct or indirect) relationships and product relationships among customers are to find candidates for collaboration. The purchasing quantities and feedback of customers are considered. The whole similarities are calculated based on the model, brand and type of purchased product. © Springer-Verlag Berlin Heidelberg 2007.