A Survey on Feature Fatigue Analysis Using Machine Learning Approaches for Online Products
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-15-3284-9_26
Reference23 articles.
1. Thompson DV, Hamilton RW, Rust RT (2005) Feature fatigue: when product capabilities become too much of a good thing. J Mark Res 42:431–442. https://doi.org/10.1509/jmkr.2005.42.4.431
2. Midhunchakkaravarthy J, Brunda SS (2016) An enhanced web mining approach for product usability evaluation in feature fatigue analysis using LDA model and association rule mining with fruit fly algorithm. Indian J Sci Technol 9. https://doi.org/10.17485/ijst/2016/v9i8/84592
3. Li M, Wang L (2011) Feature fatigue analysis in product development using Bayesian networks. Expert Syst Appl 38:10631–10637. https://doi.org/10.1016/j.eswa.2011.02.126
4. Midhunchakkaravarthy J, Brunda SS (2019) A novel approach for feature fatigue analysis using HMM stemming and adaptive invasive weed optimisation with hybrid firework optimisation method. Int J Comput Aided Eng Technol 11:411. https://doi.org/10.1504/IJCAET.2019.100442
5. Midhunchakkaravarthy J, Selva Brunda S (2017) Feature fatigue analysis of product usability using Hybrid ant colony optimization with artificial bee colony approach. J Supercomput 1–18 (2017). https://doi.org/10.1007/s11227-017-2178-4
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