A research to improve collaborative filtering recommendation algorithm oriented barter electronic trading platform
Ying Liu, Zhou Li, Jie Huang · 2013
This article describes difference between modern barter and traditional e-commerce, makes some appropriate improvement to the user-based collaborative filtering recommendation under the background of barter, introduces a reference range based on users' location and the volume of commodity to improve the recommendatory efficiency and quality, enables it to be better applied in the modern barter system.