{"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":1750309458660,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":9,"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\/3687151.3687158","type":"proceedings-article","created":{"date-parts":[[2024,10,11]],"date-time":"2024-10-11T16:27:53Z","timestamp":1728664073000},"page":"32-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhancing News Recommendation with Real-Time Feedback and Generative Sequence Modeling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4007-9174","authenticated-orcid":false,"given":"Qi","family":"Zhang","sequence":"first","affiliation":[{"name":"VMALL, Huawei Device Co., Ltd., China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5666-8320","authenticated-orcid":false,"given":"Jieming","family":"Zhu","sequence":"additional","affiliation":[{"name":"Huawei Noah?s Ark Lab, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1216-2843","authenticated-orcid":false,"given":"Jiansheng","family":"Sun","sequence":"additional","affiliation":[{"name":"VMALL, Huawei Device Co., Ltd., China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9000-857X","authenticated-orcid":false,"given":"Guohao","family":"Cai","sequence":"additional","affiliation":[{"name":"Huawei Noah?s Ark Lab, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2739-3850","authenticated-orcid":false,"given":"Ruining","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing jiaotong University, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9945-3594","authenticated-orcid":false,"given":"Bangzheng","family":"He","sequence":"additional","affiliation":[{"name":"VMALL, Huawei Device Co., Ltd., China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2919-1780","authenticated-orcid":false,"given":"Liangbi","family":"Li","sequence":"additional","affiliation":[{"name":"VMALL, Huawei Device Co., Ltd., 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\/2939672.2939785"},{"key":"e_1_3_2_1_2_1","unstructured":"Guolin Ke Qi Meng Thomas Finley Taifeng Wang Wei Chen Weidong Ma Qiwei Ye and Tie-Yan Liu. 2017. LightGBM: A Highly Efficient Gradient Boosting Decision Tree. In Advances in Neural Information Processing Systems Vol.\u00a030."},{"key":"e_1_3_2_1_3_1","volume-title":"Understanding the Ranking Loss for Recommendation with Sparse User Feedback. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).","author":"Lin Zhutian","year":"2024","unstructured":"Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, and Jie Jiang. 2024. Understanding the Ranking Loss for Recommendation with Sparse User Feedback. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_1_5_1","volume-title":"International Conference on Machine Learning (ICML).","author":"Zhai Jiaqi","year":"2024","unstructured":"Jiaqi Zhai, Lucy Liao, Xing Liu, Yueming Wang, Rui Li, Xuan Cao, Leon Gao, Zhaojie Gong, Fangda Gu, Michael He, Yinghai Lu, and Yu Shi. 2024. Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations. In International Conference on Machine Learning (ICML)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/462"},{"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\/3539618.3591988"},{"key":"e_1_3_2_1_9_1","volume-title":"Open Benchmarking for Click-Through Rate Prediction. In The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2759\u20132769","author":"Zhu Jieming","year":"2021","unstructured":"Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, and Xiuqiang He. 2021. Open Benchmarking for Click-Through Rate Prediction. In The 30th ACM International Conference on Information and Knowledge Management (CIKM). 2759\u20132769."}],"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\/3687151.3687158","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3687151.3687158","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\/3687151.3687158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,14]]},"references-count":9,"alternative-id":["10.1145\/3687151.3687158","10.1145\/3687151"],"URL":"https:\/\/doi.org\/10.1145\/3687151.3687158","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"}}]}}