Recommender agent based on social network

Authors:
Heng-Li Yang;Hsiao-Fang Yang
Affiliations:
Department of MIS, National Cheng-Chi University, Taipei, Taiwan;Department of MIS, National Cheng-Chi University, Taipei, Taiwan
Venue:
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Year:
2007

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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.