Framework for Social Relationship Recommendation
Jia Chen, Tongge Xu, Zhang Xiong
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.111How to use a DOI?
- big data; framework; recommendation; social relationships
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jia Chen AU - Tongge Xu AU - Zhang Xiong PY - 2017/06 DA - 2017/06 TI - Framework for Social Relationship Recommendation BT - 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 - https://doi.org/10.2991/caai-17.2017.111 ID - Chen2017/06 ER -