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When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails.

, , , , и . AI4I, стр. 25-29. IEEE, (2021)

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Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings., , , и . CIKM, стр. 2873-2882. ACM, (2022)TIDAQL - A Query Language Enabling on-Line Analytical Processing of Time Interval Data., , , , и . ICEIS (1), стр. 54-66. SciTePress, (2015)AUDIME: Augmented disaster medicine., , , , , и . HealthCom, стр. 342-345. IEEE, (2015)A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter., , , , и . HPCC/DSS/SmartCity/DependSys, стр. 1278-1285. IEEE, (2021)When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails., , , , и . AI4I, стр. 25-29. IEEE, (2021)Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application., , , , и . ICEIS (1), стр. 610-617. SCITEPRESS, (2021)It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation., , , и . J. Theor. Appl. Electron. Commer. Res., 19 (1): 135-151 (марта 2024)Analyzing Time Interval Data - Introducing an Information System for Time Interval Data Analysis. Springer Vieweg, (2016)Bitmap-Based On-line Analytical Processing of Time Interval Data., , , , и . ITNG, стр. 20-26. IEEE Computer Society, (2015)TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior., , , и . J. Theor. Appl. Electron. Commer. Res., 18 (3): 1404-1418 (2023)