Logistic recommendation algorithm based on collaborative filtering
- 10.2991/iwmecs-15.2015.169How to use a DOI?
- collaborative filtering, classification, Logistic
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.
- © 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/).
Cite this article
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 -