Research on Personalized Recommendation Algorithm for Internet User to Browse News

DOI

10.2991/amcce-15.2015.2How to use a DOI?

Keywords

multi-Association rule; Fuzzy Theory; Membership Function

Abstract

At present, the mode analysis methods for Internet User to browse news have three main kinds: that is, association analysis, clustering analysis and the mode of sequence analysis. This paper mainly focuses on the personalized news recommendation for Internet user. We combine the membership functions based on sample statistics distribution with the classical algorithms based on association rule. It can generalize its usefulness range. The structure of personalized news recommendation system is also given in this paper.

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)

TY  - CONF
AU  - Chunsheng Li
AU  - Shuchao Feng
AU  - Wenqian Shang
PY  - 2015/04
DA  - 2015/04
TI  - Research on Personalized Recommendation Algorithm for Internet User to Browse News
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 7
EP  - 12
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.2
DO  - 10.2991/amcce-15.2015.2
ID  - Li2015/04
ER  -