Miguel Alves Gomes

PhD student, Institute for Technologies and Management of Digital Transformation, University of Wuppertal

Joined

January 2024

Names

Miguel Alves Gomes (Preferred)

Emails

****@uni-wuppertal.de (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

PhD student

Institute for Technologies and Management of Digital Transformation, University of Wuppertal (uni-wuppertal.de)

2020 – Present

Advisors, Relations & Conflicts

PhD Advisor

Tobias Meisen

2020 – Present

Coauthor

Philipp Meisen

2020 – Present

Coauthor

Richard Meyes

2020 – Present

Coauthor

Hasan Tercan

2020 – Present

Expertise

No areas of expertise listed

Publications

Lifelong-Learning Embeddings: Incremental and Continual Representation Learning for Dynamic E-Commerce Trends
Miguel Alves Gomes, Tobias Meisen, Philipp Meisen
- Submitted to ICLR 2026
- Readers: Everyone
It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
- J. Theor. Appl. Electron. Commer. Res. 2024
- Readers: Everyone
A review on customer segmentation methods for personalized customer targeting in e-commerce use cases
Miguel Alves Gomes, Tobias Meisen
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- Inf. Syst. E Bus. Manag. 2023
- Readers: Everyone
TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior
Miguel Alves Gomes, Mark Wönkhaus, Philipp Meisen, Tobias Meisen
- Published: 01 Jan 2023, Last Modified: 29 Jan 2024
- J. Theor. Appl. Electron. Commer. Res. 2023
- Readers: Everyone
Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings
Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen
- Published: 01 Jan 2022, Last Modified: 10 Nov 2023
- CIKM 2022
- Readers: Everyone
A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter
Miguel Alves Gomes, Hasan Tercan, Todd Bodnar, Philipp Meisen, Tobias Meisen
- Published: 01 Jan 2021, Last Modified: 10 Nov 2023
- HPCC/DSS/SmartCity/DependSys 2021
- Readers: Everyone

Miguel Alves Gomes

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Lifelong-Learning Embeddings: Incremental and Continual Representation Learning for Dynamic E-Commerce Trends

It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation

A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior

Will This Online Shopping Session Succeed? Predicting Customer's Purchase Intention Using Embeddings

A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter

Co-Authors