Framework for Social Relationship Recommendation

DOI

10.2991/caai-17.2017.111How to use a DOI?

Keywords

big data; framework; recommendation; social relationships

Abstract

Find out the potential favorite data is the essence of recommendation techniques, which facilitates the recommendation techniques become a vital issue in the big data researches and applications. The traditional recommendation research and application centers on the commercial items and resources. We apply the recommendation to social relationships in social networks. We design a framework which can analyze and recommend various types of relationships. The framework has four modules and three work modes. Furthermore, we design a hybrid recommendation approach in the framework for the balancing between accuracy and efficiency. The framework can recommend the social relationships with high accuracy and low cost.

Copyright

© 2017, 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  - Jia Chen
AU  - Tongge Xu
AU  - Zhang Xiong
PY  - 2017/06
DA  - 2017/06
TI  - Framework for Social Relationship Recommendation
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 494
EP  - 498
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.111
DO  - 10.2991/caai-17.2017.111
ID  - Chen2017/06
ER  -