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Topic recommendation system using personalized fuzzy logic interest set
作者: Wenqiang Zhu
DOI:
10.3233/JIFS-189329
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2
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uni-trier.de
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参考文章
(24)
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L. C. Wang, X. Y. Zeng, L. Koehl, Y. Chen,
Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
IEEE Transactions on Human-Machine Systems.
,vol. 45, pp. 95- 109 ,(2015) ,
10.1109/THMS.2014.2364398
3.
Li Sun,
The Application Design of Personalized Recommendation System Based on Data Mining to E-Commerce
Advanced Materials Research.
,vol. 989-994, pp. 4538- 4541 ,(2014) ,
10.4028/WWW.SCIENTIFIC.NET/AMR.989-994.4538
4.
Zhiyong Cheng, Jialie Shen, Haiyan Miao,
The effects of multiple query evidences on social image retrieval
Multimedia Systems.
,vol. 22, pp. 509- 523 ,(2016) ,
10.1007/S00530-014-0432-7
5.
Meng Han,
The Design and Implementation of E-Commerce Personalized Services Based on Collaborative Filtering Recommendation System
computer and information technology.
pp. 2039- 2042 ,(2014) ,
10.4028/WWW.SCIENTIFIC.NET/AMM.687-691.2039
6.
Hao Yan,
Research of Trust Model based on Interest Group and Similarity Recommendation
The Open Automation and Control Systems Journal.
,vol. 6, pp. 754- 759 ,(2014) ,
10.2174/1874444301406010754
7.
Ibtissem Gasmi, Hassina Seridi-Bouchelaghem, Labar Hocine, Baareh Abdelkarim, None,
Collaborative filtering recommendation based on dynamic changes of user interest
Intelligent Decision Technologies.
,vol. 9, pp. 271- 281 ,(2015) ,
10.3233/IDT-140221
8.
Chin-Hui Lai, Duen-Ren Liu, Mei-Lan Liu,
Recommendations based on personalized tendency for different aspects of influences in social media
Journal of Information Science.
,vol. 41, pp. 814- 829 ,(2015) ,
10.1177/0165551515603324
9.
Li Sun, ChengEn Pan,
Personalized recommendation system based on data mining to E-commerce
3rd International Conference on Green Communications and Networks.
pp. 91- 98 ,(2014) ,
10.2495/GCN130141
10.
Fabiano A. DORÇA, Rafael D. ARAÚJO, Vitor C. de CARVALHO, Daniel T. RESENDE, Renan G. CATTELAN,
An Automatic and Dynamic Approach for Personalized Recommendation of Learning Objects Considering Students Learning Styles: An Experimental Analysis.
Informatics in education.
,vol. 15, pp. 45- 62 ,(2016) ,
10.15388/INFEDU.2016.03
来源期刊
Journal of Intelligent and Fuzzy Systems
IOS Press
2021 年,
Volume: 40, Issue: 2,
Page: 2891-2901
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