Research on e-commerce product evaluation based on multi-source heterogeneous data fusion
Author:
Affiliation:
1. Guangdong University of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3675417.3675500
Reference13 articles.
1. Pang L.J. Yu J.Z. & Xu X.S. 2020. Synthetic Evaluation Methods of E-commerce Product Quality based on Multi-dimensional Information Fusion.
2. Zhou Q.Y. Li H. Zhang Y.H. & Zheng J.H. 2023. Product Evaluation Prediction Model Based on Multi-Level Deep Feature Fusion.
3. Daskalakis E. Remoundou K. Peppes N. Alexakis T. Demestichas K. Adamopoulou E.F. & Sykas E. 2022. Applications of Fusion Techniques in E-Commerce Environments: A Literature Review.
4. Fan S. Gou J.P. Li Y. Bai J.X. Lin C. Guan W.X. Li X.B. Deng H.B. Xu J. & Zheng B. 2023. BOMGraph: Boosting Multi-scenario E-commerce Search with a Unified Graph Neural Network.
5. Ruiwei L. Huiyuan L. Laiming D. Yingfeng Q. Yingxia J. & Jianfeng Z. 2020. Research on Formation Analysis and Fusion Processing Method of Multi-source Quality Data.
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