Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

A Method to Solve Cold-Start Problem in Recommendation System based on Social Network Sub-community and Ontology Decision Model

Authors
Chen Meng, Yang Cheng, Chen Jiechao, Yi Peng
Corresponding Author
Chen Meng
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.20How to use a DOI?
Keywords
Cold-start, recommendation system, ontology model, decision tree, collaborative filtering, social sub-community
Abstract
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.

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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.20How to use a DOI?
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  -