Folgen
Muzhen Li
Muzhen Li
Assistant Professor, University of Kentucky
Bestätigte E-Mail-Adresse bei uky.edu
Titel
Zitiert von
Zitiert von
Jahr
Understanding consumers’ online fashion renting experiences: A text-mining approach
C Lang, M Li, L Zhao
Sustainable Production and Consumption 21, 132-144, 2020
832020
The use of social media to promote sustainable fashion and benefit communications: A data-mining approach
L Zhao, SH Lee, M Li, P Sun
Sustainability 14 (3), 1178, 2022
382022
Neo-fashion: A data-driven fashion trend forecasting system using catwalk analysis
L Zhao, M Li, P Sun
Clothing and Textiles Research Journal 42 (1), 19-34, 2024
282024
Exploring global fashion sustainability practices through dictionary-based text mining
M Li, L Zhao
Clothing and Textiles Research Journal 41 (3), 175-190, 2023
112023
It is about inclusion! Mining online reviews to understand the needs of adaptive clothing customers
M Li, L Zhao, S Srinivas
International Journal of Consumer Studies 47 (3), 1157-1172, 2023
82023
The Effect of Sustainable Fashion Brands’ Posts on Customers’ Emotions in Social Media
L Zhao, M Li, P Sun
International Textile and Apparel Association Annual Conference Proceedings …, 2019
22019
Neo-Fashion: A Data-Driven Fashion Trend Forecasting System using Machine Learning through Catwalk Analysis
L Zhao, M Li, P Sun
International Textile and Apparel Association Annual Conference Proceedings …, 2020
12020
Understanding Consumers’ Online Fashion Renting Experiences: A Data-Mining Approach
C Lang, L Zhao, M Li
International Textile and Apparel Association Annual Conference Proceedings …, 2019
12019
A study of sustainability practices of US fashion brands through dictionary-based text analysis
L Zhao, MRI Rana, M Li
International Textile and Apparel Association Annual Conference Proceedings …, 2019
12019
A Study of Key Factors Influencing the Attitude of Adaptive Clothing Consumers toward Purchase Online
M Li, L Zhao
International Textile and Apparel Association Annual Conference Proceedings …, 2024
2024
Understand Omnichannel Experience Through Mobile Application Customer Reviews
M Li, L Zhao
International Textile and Apparel Association Annual Conference Proceedings …, 2024
2024
It’s about Inclusion! Mining Online Reviews to Understand the Needs of Adaptive Clothing Consumers
M Li, L Zhao, S Srinivas
International Textile and Apparel Association Annual Conference Proceedings …, 2022
2022
Competing in the Digital Age: Understanding the Customer Experience of Department Stores through Mobile App Reviews
M Li, L Zhao
International Textile and Apparel Association Annual Conference Proceedings …, 2022
2022
Understand omnichannel customer value and the human-machine user experience when using mobile application
M Li
University of Missouri--Columbia, 2022
2022
Online Adaptive Clothing Shopping Experience: Text-mining of Product Titles and Consumer Reviews
M Li, L Zhao
International Textile and Apparel Association Annual Conference Proceedings …, 2020
2020
US Fashion Brands Endeavors toward Sustainability from the Kaizen Perspective: A Data-mining Based Lexical Analysis
JE Ha-Brookshire, L Zhao, MRI Rana, M Li
International Textile and Apparel Association Annual Conference Proceedings …, 2019
2019
Sampling theorem and efficiency comparison of three local minimum variance unbiased estimators of the mean and variance of the exponential distribution
G Li, M Li
Cogent Mathematics & Statistics 5 (1), 1492886, 2018
2018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–17