no code implementations • 29 Nov 2022 • Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo
A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized datasets, without insights on how these models perform in real life scenarios.
no code implementations • 29 Nov 2022 • Marjan Celikik, Matthias Kirmse, Timo Denk, Pierre Gagliardi, Sahar Mbarek, Duy Pham, Ana Peleteiro Ramallo
However, to date, there is no extensive comparison of the performance of the different algorithms for outfit generation and recommendation.