Miguel Alves Gomes

According to our database, Miguel Alves Gomes authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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., March, 2024

Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings.

Miguel Alves Gomes, Philipp Meisen, Tobias Meisen

CoRR, 2024

2023

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

Miguel Alves Gomes, Tobias Meisen

Inf. Syst. E Bus. Manag., September, 2023

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

Miguel Alves Gomes, Mark Wönkhaus, Philipp Meisen, Tobias Meisen

J. Theor. Appl. Electron. Commer. Res., 2023

2022

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

Miguel Alves Gomes, Richard Meyes, Philipp Meisen, Tobias Meisen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

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

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021