{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:09:49Z","timestamp":1757617789411,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3748104","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:46:13Z","timestamp":1757155573000},"page":"1017-1021","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Never Miss an Episode: How LLMs are Powering  Serial Content Discovery on YouTube"],"prefix":"10.1145","author":[{"given":"Aditee","family":"Kumthekar","sequence":"first","affiliation":[{"name":"Google Inc, USA"}]},{"given":"Li","family":"Wei","sequence":"additional","affiliation":[{"name":"Google, USA"}]},{"given":"Andrea","family":"Bettale","sequence":"additional","affiliation":[{"name":"Google Inc, USA"}]},{"given":"Mahesh","family":"Sathiamoorthy","sequence":"additional","affiliation":[{"name":"Bespoke Labs, Ex-Google, USA"}]},{"given":"Zrinka","family":"Puljiz","sequence":"additional","affiliation":[{"name":"Google Inc, USA"}]},{"given":"Aditya","family":"Mahajan","sequence":"additional","affiliation":[{"name":"Google Inc, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-industry.95"},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Avishek Anand Abhijit Anand Vinay Setty et al. 2023. Query understanding in the age of large language models. In SIGIR\u201923. 10.48550\/arXiv.2306.16004","DOI":"10.48550\/arXiv.2306.16004"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688043"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688023"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2310.10508"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. In Advances in neural information processing systems 33:1877\u20131901 10.48550\/arXiv.2005.14165","DOI":"10.48550\/arXiv.2005.14165"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Leijie Wang Kathryn Yurechko Pranati Dani Quan Ze Chen Amy X. Zhang. 2025 End User Authoring of Personalized Content Classifiers: Comparing Example Labeling Rule Writing and LLM Prompting In CHI\u201925. 10.48550\/arXiv.2409.03247","DOI":"10.48550\/arXiv.2409.03247"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.64"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2404.02060"},{"key":"e_1_3_3_1_10_2","unstructured":"YouTube Playlist. 2025. Hell's Kitchen Season 20. https:\/\/www.youtube.com\/playlist?list=PLW5iCJIwM9Z-RWsw0eZyU1pJLW-pzal-x"},{"key":"e_1_3_3_1_11_2","unstructured":"YouTube Playlist. 2025. Hot Ones. https:\/\/www.youtube.com\/playlist?list=PLAzrgbu8gEMIIK3r4Se1dOZWSZzUSadfZ"},{"key":"e_1_3_3_1_12_2","unstructured":"YouTube Playlist. 2025. Chill Songs. https:\/\/www.youtube.com\/playlist?list=PLSZ0bvBh41S5f1uO4CjsKSHFx_mfK4-Ws"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Jingying Zeng Zhenwei Hui Liu Samarth Varshney Zhiji Liu Chen Luo Zhen Li Qi He Xianfeng Tang. 2025. Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. 10.48550\/arXiv.2503.13518","DOI":"10.48550\/arXiv.2503.13518"}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Prague Czech Republic","acronym":"RecSys '25"},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3748104","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:41:33Z","timestamp":1757158893000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3748104"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":13,"alternative-id":["10.1145\/3705328.3748104","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3748104","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}