Prediction of members’ repurchase rates with time weight function-Reference-Cited by-同舟云学术

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Prediction of members’ repurchase rates with time weight function

Published:2013-01-30 Issue:9 Volume:17 Page:1711-1723
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chen Chun-Hao,Chiang Rui-Dong,Wang Yi-Hsin,Chu Huan-Chen

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-013-0987-9.pdf

Reference25 articles.

1. Albadvi A, Shahbazi M (2009) A hybrid recommendation technique based on product category attributes. Expert Syst Appl 36(9):11480–11488. doi: 10.1016/j.eswa.2009.03.046

2. Balabanovic M, Shoham Y (1997) Fab: content-based, collaborative recommendation. Commun ACM 40(3):72. doi: 10.1145/245108.245124

3. Blanco-Fernández Y, Pazos-Arias JJ, López-Nores M, Gil-Solla A, Ramos-Cabrer M, García-Duque J, Fernández-Vilas A, Díaz-Redondo RP (2010) Incentivized provision of metadata, semantic reasoning and time-driven filtering: making a puzzle of personalized e-commerce. Expert Syst Appl 37(1):61–69. doi: 10.1016/j.eswa.2009.05.022

4. Cho YH, Kim JK (2004) Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Syst Appl 26(2):233–246. doi: 10.1016/S0957-4174(03)00138-6

5. Di Martino F, Loia V, Sessa S (2010) Fuzzy transforms method and attribute dependency in data analysis. Inf Sci 180(4):493–505. doi: 10.1016/j.ins.2009.10.012

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1. Extracting recent weighted-based patterns from uncertain temporal databases;Engineering Applications of Artificial Intelligence;2017-05

2. Learning to recommend with social contextual information from implicit feedback;Soft Computing;2014-07-03

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