Product advertising recommendation in e-commerce based on deep learning and distributed expression.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 321, doi. 10.1007/s10660-020-09411-6
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- Publication type:
- Article
Works matching IS 13895753 AND DT 2020 AND VI 20 AND IP 2
Results: 12
1
2
Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 297, doi. 10.1007/s10660-020-09409-0
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- Publication type:
- Article
3
Research and analysis of deep learning algorithms for investment decision support model in electronic commerce.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 275, doi. 10.1007/s10660-019-09389-w
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- Publication type:
- Article
4
Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms' heterogeneous consumers market.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 453, doi. 10.1007/s10660-019-09388-x
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- Publication type:
- Article
5
Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 259, doi. 10.1007/s10660-019-09383-2
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- Publication type:
- Article
6
Predicting consumer preferences in electronic market based on IoT and Social Networks using deep learning based collaborative filtering techniques.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 241, doi. 10.1007/s10660-019-09377-0
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- Publication type:
- Article
7
Attributes prediction from IoT consumer reviews in the hotel sectors using conventional neural network: deep learning techniques.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 223, doi. 10.1007/s10660-019-09373-4
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- Publication type:
- Article
8
Entity name recognition of cross-border e-commerce commodity titles based on TWs-LSTM.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 405, doi. 10.1007/s10660-019-09371-6
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- Publication type:
- Article
9
Who should pay for return freight in the online retailing? Retailers or consumers.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 427, doi. 10.1007/s10660-019-09360-9
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- Publication type:
- Article
10
Sentiment analysis for online reviews using conditional random fields and support vector machines.
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- Electronic Commerce Research, 2020, v. 20, n. 2, p. 343, doi. 10.1007/s10660-019-09354-7
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- Publication type:
- Article
11
Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 381, doi. 10.1007/s10660-019-09333-y
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- Publication type:
- Article
12
A Bayesian network approach to juxtapose brand engagement and behaviors of substantive interest in e-services.
- Published in:
- Electronic Commerce Research, 2020, v. 20, n. 2, p. 361, doi. 10.1007/s10660-018-9320-0
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- Publication type:
- Article