9 citations · 9 across the 2 of their papers we have counts for
5 papers
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
Gabriel de Souza P. Moreira, Sara Rabhi, Ronay Ak +2
Session-based recommendation is an important task for e-commerce services, where a large number of users browse anonymously or may have very distinct interests for different sessio…
Hybrid Session-based News Recommendation using Recurrent Neural Networks
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha
We describe a hybrid meta-architecture -- the CHAMELEON -- for session-based news recommendation that is able to leverage a variety of information types using Recurrent Neural Netw…
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha
News recommender systems are designed to surface relevant information for online readers by personalizing their user experiences. A particular problem in that context is that onlin…
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
Recommender systems help users deal with information overload by providing tailored item suggestions to them. The recommendation of news is often considered to be challenging, sinc…
News Session-Based Recommendations using Deep Neural Networks
Gabriel de Souza P. Moreira, Felipe Ferreira, Adilson Marques da Cunha
News recommender systems are aimed to personalize users experiences and help them to discover relevant articles from a large and dynamic search space. Therefore, news domain is a c…