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Patrick John Chia
Patrick John Chia
Coveo
在 coveo.com 的电子邮件经过验证
标题
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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
272021
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
202022
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
62022
" Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
PJ Chia, B Yu, J Tagliabue
arXiv preprint arXiv:2107.03256, 2021
62021
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
52024
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
42023
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
42023
" 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
42022
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
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