A Micro blog Recommendation System Based on User Clustering
- 10.2991/iccset-14.2015.91How to use a DOI?
- micro blog, recommendation system, cluster, semantic dictionary, similarity
Nowadays, micro blog has been widely used as a platform of information sharing. How to help users to find what they are interested in from massive amount of data becomes a very challenging issue. Some micro blog recommend systems are user-based and its effect is not significant. In this paper, we implement the recommendation system based on micro blog, users can subscribe the post which they are interested in, and system will recommend the related posts to users combined with user interest. This paper cluster users by their interest and experimental results show that the improved K-Means clustering algorithm can achieve a better accuracy and running time and our algorithm is more effective than traditional algorithm.
- © 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 - Lei Chen AU - Chao Jiang AU - Wei Wang PY - 2015/01 DA - 2015/01 TI - A Micro blog Recommendation System Based on User Clustering BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 408 EP - 411 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.91 DO - 10.2991/iccset-14.2015.91 ID - Chen2015/01 ER -