Ceramic Products Recommendation Based Improved Collaborative Filtering

DOI

10.2991/icaise.2013.30How to use a DOI?

Keywords

Ceramic Products, User Classifying, Collaborative Filtering

Abstract

In order to achieve personalized recommendation in the e-commerce platform for ceramic products, and improve the quality of recommendation, an improved collaborative filtering recommendation algorithm based on collaborative filtering algorithm was presented. By analyzing the insufficient of traditional collaborative filtering recommendation algorithm, combined with the characteristics of ceramic products in similar neighbor selection, the user was classified, and classification results as a basis for similar neighbors selected to optimize the choice of similar neighbors. Finally, experiments verify the improved algorithm, experimental results show that the improved method was optimized.

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  - Huiying Li
AU  - Yilai Zhang
AU  - Gongxun Cheng
PY  - 2013/08
DA  - 2013/08
TI  - Ceramic Products Recommendation Based Improved Collaborative Filtering
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 143
EP  - 146
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.30
DO  - 10.2991/icaise.2013.30
ID  - Li2013/08
ER  -