{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:04:18Z","timestamp":1750309458596,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:00:00Z","timestamp":1728864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,14]]},"DOI":"10.1145\/3687151.3687163","type":"proceedings-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T16:27:53Z","timestamp":1728664073000},"page":"53-57","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7419-1035","authenticated-orcid":false,"given":"Taofeng","family":"Xue","sequence":"first","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9882-9215","authenticated-orcid":false,"given":"Zhimin","family":"Lin","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1748-4924","authenticated-orcid":false,"given":"Zijian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8010-8023","authenticated-orcid":false,"given":"Linsen","family":"Guo","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0250-1426","authenticated-orcid":false,"given":"Haoru","family":"Chen","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8106-5644","authenticated-orcid":false,"given":"Mengjiao","family":"Bao","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6211-4543","authenticated-orcid":false,"given":"Peng","family":"Yan","sequence":"additional","affiliation":[{"name":"Meituan Search and Content Intelligence, China"}]}],"member":"320","published-online":{"date-parts":[[2024,10,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599884"},{"key":"e_1_3_2_1_2_1","volume-title":"CatBoost: unbiased boosting with categorical features. Advances in neural information processing systems 31","author":"Prokhorenkova Liudmila","year":"2018","unstructured":"Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna\u00a0Veronika Dorogush, and Andrey Gulin. 2018. CatBoost: unbiased boosting with categorical features. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_1_3_1","volume-title":"Dropoutnet: Addressing cold start in recommender systems. Advances in neural information processing systems 30","author":"Volkovs Maksims","year":"2017","unstructured":"Maksims Volkovs, Guangwei Yu, and Tomi Poutanen. 2017. Dropoutnet: Addressing cold start in recommender systems. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_4_1","volume-title":"Masknet: Introducing feature-wise multiplication to CTR ranking models by instance-guided mask. arXiv preprint arXiv:2102.07619","author":"Wang Zhiqiang","year":"2021","unstructured":"Zhiqiang Wang, Qingyun She, and Junlin Zhang. 2021. Masknet: Introducing feature-wise multiplication to CTR ranking models by instance-guided mask. arXiv preprint arXiv:2102.07619 (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599918"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482486"}],"event":{"name":"RecSys Challenge '24: ACM RecSys Challenge 2024","acronym":"RecSys Challenge '24","location":"Bari Italy"},"container-title":["Proceedings of the Recommender Systems Challenge 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3687151.3687163","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3687151.3687163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:10:22Z","timestamp":1750295422000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3687151.3687163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,14]]},"references-count":8,"alternative-id":["10.1145\/3687151.3687163","10.1145\/3687151"],"URL":"https:\/\/doi.org\/10.1145\/3687151.3687163","relation":{},"subject":[],"published":{"date-parts":[[2024,10,14]]},"assertion":[{"value":"2024-10-14","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}