A Method to Solve Cold-Start Problem in Recommendation System based on Social Network Sub-community and Ontology Decision Model
Chen Meng, Yang Cheng, Chen Jiechao, Yi Peng
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.20How to use a DOI?
- Cold-start, recommendation system, ontology model, decision tree, collaborative filtering, social sub-community
- The paper presents a method to solve Cold-start problem in collaborative filtering recommendation system. Social sub-community is divided following analyzing exiting users’ history data and mining relationship between each other. Then ontology decision model is built in the basis of sub-community and users’ static information, which makes recommendation for new user based on his static ontology information. At last, the proposed method is used to recommenditems tonew users. In this paper, data simulation experiment is taken to test the technical method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chen Meng AU - Yang Cheng AU - Chen Jiechao AU - Yi Peng PY - 2013/11 DA - 2013/11 TI - A Method to Solve Cold-Start Problem in Recommendation System based on Social Network Sub-community and Ontology Decision Model BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.20 DO - https://doi.org/10.2991/icmt-13.2013.20 ID - Meng2013/11 ER -