首页|Study Results from Hefei University of Technology Provide New Insights into Machine Learning (Product Consumptions Meet Reviews: Inferring Consumer Preferences By an Explainable Machine Learning Approach)
Study Results from Hefei University of Technology Provide New Insights into Machine Learning (Product Consumptions Meet Reviews: Inferring Consumer Preferences By an Explainable Machine Learning Approach)
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NETL
NSTL
Elsevier
New research on Machine Learning is the subject of a report. According to news reporting originating from Anhui, People's Republic of China, by NewsRx correspondents, research stated, "Inferring consumers' preferences provides a better understanding of their purchase behavior, which is very important for business success, e.g., recommendation systems and targeted advertising. In this paper, we propose an explainable machine learning approach, namely Multi-view Latent Dirichlet Allocation (MVLDA), to infer and interpret consumer preferences." Financial supporters for this research include Foundation of China, Fundamental Research Funds for the Central Universities, National Engineering Laboratory for Big Data Distribution and Ex-change Technologies.
AnhuiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHefei University of Technology
NETL
NSTL
Elsevier
