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Predicting online shopping cart abandonment with machine learning approaches

Rausch, Theresa; Derra, Nicholas Daniel; Wolf, Lukas - In: International journal of market research 64 (2022) 1, pp. 89-112

Persistent link: https://www.econbiz.de/10012794300

Essays on predictive analytics in e-commerce

Urbanke, Patrick - 2016

Persistent link: https://www.econbiz.de/10012384621

Predictably unpredictable? : how judgmental and machine learning forecasts complement each other

Nair, Devadrita; Huchzermeier, Arnd - In: Production and operations management : the flagship … 33 (2024) 5, pp. 1214-1234

Persistent link: https://www.econbiz.de/10014577000

Spam review detection using LSTM autoencoder : an unsupervised approach

Saumya, Sunil; Singh, Jyoti Prakash - In: Electronic commerce research 22 (2022) 1, pp. 113-133

Persistent link: https://www.econbiz.de/10013169416

Estimating city-level poverty rate based on e-commerce data with machine learning

Wijaya, Dedy Rahman; Paramita, Ni Luh Putu Satyaning Pradnya - In: Electronic commerce research 22 (2022) 1, pp. 195-221

Persistent link: https://www.econbiz.de/10013169448

Detecting and Forecasting Economic Regimes in Multi-Agent Automated Exchanges

Ketter, Wolfgang - 2013

We show how an autonomous agent can use observable market conditions to characterize the microeconomic situation of the market and predict future market trends. The agent can use this information to make both tactical decisions, such as pricing, and strategic decisions, such as product mix and...

Persistent link: https://www.econbiz.de/10012753749