{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T15:44:15Z","timestamp":1756309455200,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"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":[[2023,9,14]]},"DOI":"10.1145\/3604915.3610508","type":"proceedings-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T22:40:23Z","timestamp":1694731223000},"page":"1217-1220","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8884-2530","authenticated-orcid":false,"given":"Rahul","family":"Agrawal","sequence":"first","affiliation":[{"name":"ShareChat, UK"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4031-5635","authenticated-orcid":false,"given":"Sarang","family":"Brahme","sequence":"additional","affiliation":[{"name":"ShareChat, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2241-9470","authenticated-orcid":false,"given":"Sourav","family":"Maitra","sequence":"additional","affiliation":[{"name":"ShareChat, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9669-0602","authenticated-orcid":false,"given":"Saikishore","family":"Kalloori","sequence":"additional","affiliation":[{"name":"ETH Z\u00fcrich, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7113-6947","authenticated-orcid":false,"given":"Abhishek","family":"Srivastava","sequence":"additional","affiliation":[{"name":"IIM Visakhapatnam, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9031-9696","authenticated-orcid":false,"given":"Yong","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9682-3500","authenticated-orcid":false,"given":"Athirai","family":"Irissappane","sequence":"additional","affiliation":[{"name":"Amazon, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109954"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3411532"},{"key":"e_1_3_2_1_3_1","volume-title":"RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter\u2019s Home Timeline. In Proceedings of the 15th ACM Conference on Recommender Systems. 819\u2013824","author":"Anelli Vito\u00a0Walter","year":"2021","unstructured":"Vito\u00a0Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, 2021. RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter\u2019s Home Timeline. In Proceedings of the 15th ACM Conference on Recommender Systems. 819\u2013824."},{"key":"e_1_3_2_1_4_1","volume-title":"Scarf: Self-supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147","author":"Bahri Dara","year":"2021","unstructured":"Dara Bahri, Heinrich Jiang, Yi Tay, and Donald Metzler. 2021. Scarf: Self-supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147 (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487572.3487573"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240342"},{"key":"e_1_3_2_1_7_1","volume-title":"Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482","author":"Feng Yufei","year":"2019","unstructured":"Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, and Keping Yang. 2019. Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482 (2019)."},{"key":"e_1_3_2_1_8_1","volume-title":"Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821","author":"Gao Tianyu","year":"2021","unstructured":"Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021. Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821 (2021)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346974"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3556702.3556779"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the Recommender Systems Challenge","author":"Landia Nick","year":"2022","unstructured":"Nick Landia, Rachael Mcalister, Donna North, Saikishore Kalloori, Abhishek Srivastava, and Bruce Ferwerda. 2022. RecSys Challenge 2022 Dataset: Dressipi 1M Fashion Sessions. In Proceedings of the Recommender Systems Challenge 2022. 1\u20133."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3090866"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2018.04.004"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295349"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570372"},{"key":"e_1_3_2_1_16_1","first-page":"11033","article-title":"Vime: Extending the success of self-and semi-supervised learning to tabular domain","volume":"33","author":"Yoon Jinsung","year":"2020","unstructured":"Jinsung Yoon, Yao Zhang, James Jordon, and Mihaela van\u00a0der Schaar. 2020. Vime: Extending the success of self-and semi-supervised learning to tabular domain. Advances in Neural Information Processing Systems 33 (2020), 11033\u201311043.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3591469"}],"event":{"name":"RecSys '23: Seventeenth ACM Conference on Recommender Systems","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","SIGecom Special Interest Group on Economics and Computation"],"location":"Singapore Singapore","acronym":"RecSys '23"},"container-title":["Proceedings of the 17th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3610508","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604915.3610508","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:35Z","timestamp":1750178795000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3610508"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":19,"alternative-id":["10.1145\/3604915.3610508","10.1145\/3604915"],"URL":"https:\/\/doi.org\/10.1145\/3604915.3610508","relation":{},"subject":[],"published":{"date-parts":[[2023,9,14]]},"assertion":[{"value":"2023-09-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}