Research on Personalized Recommendation Algorithm for Internet User to Browse News
Chunsheng Li, Shuchao Feng, Wenqian Shang
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.2How to use a DOI?
- multi-Association rule; Fuzzy Theory; Membership Function
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/amcce-15.2015.2 ID - Li2015/04 ER -