Miguel Alves Gomes, M.Sc.
Scientific Researcher
Area of Research:
- Recommender Systems
- Data Mining
- Data Analytics
- Machine Learning and Deep Learning
- Explainable AI with Transformers
Biography
Miguel Alves Gomes joined the Institute for Technologies and Management of Digital Transformation at the University of Wuppertal in December 2020 as a research associate and doctoral student. In his research, Mr. Alves Gomes deals with personalized recommender systems. The focus is on the combination of unsupervised and supervised machine learning methods as well as the data mining methods required for this purpose.
Mr. Alves Gomes first studied Information Technology with a focus on Information Science in his Bachelor's degree and then Computer Science with a focus on Data Analytics in his Master's degree at the University of Wuppertal. During this time, he also worked as a student assistant at the Institute for Technologies and Management of Digital Transformation. In his master's thesis, he investigated the language understanding of Transformer-based neural networks by visualizing model-internal information.
Publikationen
- 2022
- Alves-Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2022). "Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : {Association for Computing Machinery} 2873--2882.
ISBN: 9781450392365
- Alves-Gomes, M., Meyes, R., Meisen, P., & Meisen, T. (2022). "Will This Online Shopping Session Succeed? Predicting Customer’s Purchase Intention Using Embeddings" in Proceedings of the 31st ACM International Conference on Information & Knowledge Management , New York, NY, USA : Association for Computing Machinery 2873—2882.
ISBN: 9781450392365
- 2021
- Alves-Gomes, M., Tercan, H., Bodnar, T., Meisen, T., & Meisen, P. (2021). "A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter" in 2021 IEEE 23rd Int. Conf. on High Performance Computing and Communications; 7th Int. Conf. on Data Science and Systems; 19th Int. Conf. on Smart City; 7th Int. Conf. on Dependability in Sensor, Cloud and Big Data Systems and Application (HPCC/DSS/SmartCity/DependSys) . 1278—1285.
