Research on the cold start of collaborative filtering
- https://doi.org/10.2991/icadme-15.2015.408How to use a DOI?
- Collaborative filtering; Cold start; Recommendation system; Electronic commerce system
The recommendation system is the information service tool that can satisfy the user's personalized demand. It can effectively solve the problem of information overload. Collaborative filtering recommendation technology is widely used, but the technology is difficult to recommend new users and new projects, which is called the cold start problem. This paper introduces the collaborative filtering technology and the cold start problem, then introduces a new model of collaborative filtering to solve the problem of cold start.
- © 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 - Zhonghua Lu PY - 2015/10 DA - 2015/10 TI - Research on the cold start of collaborative filtering BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 2191 EP - 2194 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.408 DO - https://doi.org/10.2991/icadme-15.2015.408 ID - Lu2015/10 ER -