{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:49Z","timestamp":1750220209493,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T00:00:00Z","timestamp":1663027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,18]]},"DOI":"10.1145\/3523227.3547389","type":"proceedings-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T14:13:46Z","timestamp":1663078426000},"page":"488-489","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Recommendations: They\u2019re in fashion"],"prefix":"10.1145","author":[{"given":"Carlos","family":"Carvalheira","sequence":"first","affiliation":[{"name":"Farfetch, United Kingdom"}]},{"given":"Tiago","family":"Lacerda","sequence":"additional","affiliation":[{"name":"Farfetch, United Kingdom"}]},{"given":"Diogo","family":"Gon\u00e7alves","sequence":"additional","affiliation":[{"name":"Farfetch, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"unstructured":"Open AI. 2022. Gym documentation. https:\/\/www.gymlibrary.ml\/","key":"e_1_3_2_2_1_1"},{"unstructured":"CRITEO. 2022. criteo-research \/ reco-gym. https:\/\/github.com\/criteo-research\/reco-gym","key":"e_1_3_2_2_2_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_3_1","DOI":"10.1145\/3109859.3109926"},{"doi-asserted-by":"crossref","unstructured":"Diogo Goncalves Farfetch\u00a0Liwei Liu Farfetch\u00a0Jo\u00e3o S\u00e1 Farfetch\u00a0Tiago Otto Farfetch\u00a0Ana Magalh\u00e3es Farfetch\u00a0Paula Brochado Liwei Liu Jo\u00e3o S\u00e1 Tiago Otto Ana Magalh\u00e3es and Paula Brochado. 2020. The importance of brand affinity in luxury fashion recommendations.","key":"e_1_3_2_2_4_1","DOI":"10.1007\/978-3-030-66103-8_1"},{"key":"e_1_3_2_2_5_1","volume-title":"How big can style be? Addressing high dimensionality for recommending with style. (8","author":"Goncalves Diogo","year":"2019","unstructured":"Diogo Goncalves, Liwei Liu, and Ana Magalh\u00e3es. 2019. How big can style be? Addressing high dimensionality for recommending with style. (8 2019). http:\/\/arxiv.org\/abs\/1908.10642"},{"doi-asserted-by":"crossref","unstructured":"Liwei Liu Ivo Silva Pedro Nogueira Ana Magalh\u00e3es and Eder Martins. 2020. User Aesthetics Identification for Fashion Recommendations. Recommender Systems in Fashion and Retail(2020) 41\u201358.","key":"e_1_3_2_2_6_1","DOI":"10.1007\/978-3-030-66103-8_3"},{"doi-asserted-by":"crossref","unstructured":"Ana Magalh\u00e3es. 2019. The trinity of luxury fashion recommendations: data experts and experimentation. Industry Sessions at RecSys\u201919(2019).","key":"e_1_3_2_2_7_1","DOI":"10.1145\/3298689.3346978"},{"doi-asserted-by":"crossref","unstructured":"Pedro Nogueira Diogo Gon\u00e7alves Vanessa Marinho Ana Magalh\u00e3es and Jo\u00e3o S\u00e1. 2021. A critical analysis of offline evaluation decisions against online results: A real-time recommendations case study; A critical analysis of offline evaluation decisions against online results: A real-time recommendations case study.","key":"e_1_3_2_2_8_1","DOI":"10.1007\/978-3-030-94016-4_6"},{"doi-asserted-by":"publisher","unstructured":"Jo\u00e3o S\u00e1 Vanessa\u00a0Queiroz Marinho Ana\u00a0Rita Magalh\u00e3es Tiago Lacerda and Diogo Goncalves. 2022. Diversity Vs Relevance: A Practical Multi-objective Study in Luxury Fashion Recommendations. (2022). https:\/\/doi.org\/10.1145\/3477495.3531866","key":"e_1_3_2_2_9_1","DOI":"10.1145\/3477495.3531866"}],"event":{"sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"acronym":"RecSys '22","name":"RecSys '22: Sixteenth ACM Conference on Recommender Systems","location":"Seattle WA USA"},"container-title":["Proceedings of the 16th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3547389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523227.3547389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:03:01Z","timestamp":1750186981000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3547389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,13]]},"references-count":9,"alternative-id":["10.1145\/3523227.3547389","10.1145\/3523227"],"URL":"https:\/\/doi.org\/10.1145\/3523227.3547389","relation":{},"subject":[],"published":{"date-parts":[[2022,9,13]]},"assertion":[{"value":"2022-09-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}