Cargando…
Cross-Border E-Commerce Intelligent Information Recommendation System Based on Deep Learning
In order to improve the effect of cross-border e-commerce intelligent information recommendation, this paper applies deep learning to the intelligent information processing and intelligent recommendation of e-commerce and proposes an improved version of the topic model to solve the problem of featur...
Autor principal: | Li, Liuqing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890846/ https://www.ncbi.nlm.nih.gov/pubmed/35251154 http://dx.doi.org/10.1155/2022/6602471 |
Ejemplares similares
-
E-Commerce Picture Text Recognition Information System Based on Deep Learning
por: Zhao, Bin, et al.
Publicado: (2022) -
Intelligence customs declaration for cross-border e-commerce based on the multi-modal model and the optimal window mechanism
por: Li, Xiaofeng, et al.
Publicado: (2022) -
Application of big data search based on collaborative filtering algorithm in cross-border e-commerce product recommendation
por: Wu, Xiaoli, et al.
Publicado: (2023) -
Analysis and Prediction of Cross-Border e-Commerce Scale of China Based on the Machine Learning Model
por: Chen, Qiaoping
Publicado: (2022) -
Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-Based Recommendation in E-Commerce
por: Maher, Mohamed, et al.
Publicado: (2022)