Contrastive language and vision learning of general fashion concepts PJ Chia, G Attanasio, F Bianchi, S Terragni, AR Magalhães, D Goncalves, ... Scientific Reports 12 (1), 18958, 2022 | 27* | 2022 |
Sigir 2021 e-commerce workshop data challenge J Tagliabue, C Greco, JF Roy, B Yu, PJ Chia, F Bianchi, G Cassani arXiv preprint arXiv:2104.09423, 2021 | 27 | 2021 |
Beyond ndcg: behavioral testing of recommender systems with reclist PJ Chia, J Tagliabue, F Bianchi, C He, B Ko Companion Proceedings of the Web Conference 2022, 99-104, 2022 | 20 | 2022 |
EvalRS: a rounded evaluation of recommender systems J Tagliabue, F Bianchi, T Schnabel, G Attanasio, C Greco, GSP Moreira, ... arXiv preprint arXiv:2207.05772, 2022 | 6 | 2022 |
" Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops PJ Chia, B Yu, J Tagliabue arXiv preprint arXiv:2107.03256, 2021 | 6 | 2021 |
How well can llms negotiate? negotiationarena platform and analysis F Bianchi, PJ Chia, M Yuksekgonul, J Tagliabue, D Jurafsky, J Zou arXiv preprint arXiv:2402.05863, 2024 | 5 | 2024 |
EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments F Bianchi, PJ Chia, J Tagliabue, C Greco, GSP Moreira, D Eynard, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
A challenge for rounded evaluation of recommender systems J Tagliabue, F Bianchi, T Schnabel, G Attanasio, C Greco, ... Nature Machine Intelligence 5 (2), 181-182, 2023 | 4 | 2023 |
" Does it come in black?" CLIP-like models are zero-shot recommenders PJ Chia, J Tagliabue, F Bianchi, C Greco, D Gonçalves arXiv preprint arXiv:2204.02473, 2022 | 4 | 2022 |
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems PJ Chia, G Attanasio, J Tagliabue, F Bianchi, C Greco, GSP Moreira, ... arXiv preprint arXiv:2304.10621, 2023 | | 2023 |