Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

A Micro blog Recommendation System Based on User Clustering

Authors
Lei Chen, Chao Jiang, Wei Wang
Corresponding Author
Lei Chen
Available Online January 2015.
DOI
10.2991/iccset-14.2015.91How to use a DOI?
Keywords
micro blog, recommendation system, cluster, semantic dictionary, similarity
Abstract

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.

Copyright
© 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/).

Download article (PDF)

Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/iccset-14.2015.91
ISSN
2352-538X
DOI
10.2991/iccset-14.2015.91How to use a DOI?
Copyright
© 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  -