Research on Personalized Recommendation Algorithm for Internet User to Browse News
Chunsheng Li,Shuchao Feng,Wenqian Shang +2 more
- 24 Apr 2015
- pp 7-12
TL;DR: The membership functions based on sample statistics distribution with the classical algorithms based on association rule can generalize its usefulness range and the structure of personalized news recommendation system is given.
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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.
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Citations
•Journal Article
Generation of QAR Association Using Rules Based on Automatic Fuzzy Partition and Improved Apriori Algorithm
TL;DR: The result showed that the method for generating association rules in Quick Access Recorder (QAR) based on automatic fuzzy partition and improved Apriori algorithm is superior to the classical method in all aspects of performance.
1
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