A research to improve collaborative filtering recommendation algorithm oriented barter electronic trading platform

DOI

10.2991/iccnce.2013.146How to use a DOI?

Keywords

Modern barter trading, users’ location, volume of commodity, reference range, the collaborative filtering recommendation

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Liu
AU  - Li Zhou
AU  - Jie Huang
PY  - 2013/07
DA  - 2013/07
TI  - A research to improve collaborative filtering recommendation algorithm oriented barter electronic trading platform
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 589
EP  - 592
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.146
DO  - 10.2991/iccnce.2013.146
ID  - Liu2013/07
ER  -