Logistic recommendation algorithm based on collaborative filtering

DOI

10.2991/iwmecs-15.2015.169How to use a DOI?

Keywords

collaborative filtering, classification, Logistic

Abstract

Traditional collaborative filtering recommendation technology has lower accuracy and couldn't meet the actual needs. So we convert the recommendation problem into the classification problem. We introduce Logistic classification methods based on the collaborative filtering technology and determine whether the recommending units are recommendable according to personal feature of users and products. The result shows that the method could greatly improve the accuracy of recommendation under the premise to ensure recall.

Copyright

© 2015, 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  - Xiaoyu Zhang
AU  - Chaofan Dai
AU  - Yanpeng Zhao
PY  - 2015/10
DA  - 2015/10
TI  - Logistic recommendation algorithm based on collaborative filtering
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 861
EP  - 864
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.169
DO  - 10.2991/iwmecs-15.2015.169
ID  - Zhang2015/10
ER  -