| A review on customer segmentation methods for personalized customer targeting in e-commerce use cases M Alves Gomes, T Meisen Information Systems and e-Business Management, 1-44, 2023 | 54 | 2023 |
| Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings M Alves Gomes, R Meyes, P Meisen, T Meisen 31st ACM International Conference on Information & Knowledge Management …, 2022 | 13 | 2022 |
| Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers N Hütten, M Alves Gomes, F Hölken, K Andricevic, R Meyes, T Meisen Applied System Innovation 7 (1), 11, 2024 | 12 | 2024 |
| A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter MA Gomes, H Tercan, T Bodnar, P Meisen, T Meisen 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | 5* | 2021 |
| TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior M Alves Gomes, M Wönkhaus, P Meisen, T Meisen Journal of Theoretical and Applied Electronic Commerce Research 18 (3), 1404 …, 2023 | 3 | 2023 |
| Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings MA Gomes, P Meisen, T Meisen arXiv preprint arXiv:2408.14118, 2024 | | 2024 |
| It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation M Alves Gomes, R Meyes, P Meisen, T Meisen Journal of Theoretical and Applied Electronic Commerce Research 19 (1), 135-151, 2024 | | 2024 |
