2 citations · 2 across the 3 of their papers we have counts for
3 papers
Efficient Large-Scale Cross-Domain Sequential Recommendation with Dynamic State Representations
Manuel V. Loureiro, Steven Derby, Aleksei Medvedev +3
Recently, autoregressive recommendation models (ARMs), such as Meta's HSTU model, have emerged as a major breakthrough over traditional Deep Learning Recommendation Models (DLRMs),…
MM-GEF: Multi-modal representation meet collaborative filtering
Hao Wu, Alejandro Ariza-Casabona, Bartłomiej Twardowski +1
In modern e-commerce, item content features in various modalities offer accurate yet comprehensive information to recommender systems. The majority of previous work either focuses…
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
Alejandro Ariza-Casabona, Bartlomiej Twardowski, Tri Kurniawan Wijaya
Multi-domain recommender systems benefit from cross-domain representation learning and positive knowledge transfer. Both can be achieved by introducing a specific modeling of input…