{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T05:51:29Z","timestamp":1779342689833,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Key Research and Development Plan of China","award":["Grant 2021YFF0901001"],"award-info":[{"award-number":["Grant 2021YFF0901001"]}]},{"name":"the Innovation Found from the Engineering Research Center of Integration and Application of Digital Learning Technology, Ministry of Education","award":["Grant 1221035"],"award-info":[{"award-number":["Grant 1221035"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3592033","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:23Z","timestamp":1689726143000},"page":"2236-2240","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3013-7345","authenticated-orcid":false,"given":"Xiangkui","family":"Lu","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5733-3621","authenticated-orcid":false,"given":"Jun","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University &amp; Engineering Research Center of Integration and Application of Digital Learning Technology,Ministry of Education, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7949-9841","authenticated-orcid":false,"given":"Jianbo","family":"Yuan","sequence":"additional","affiliation":[{"name":"ByteDance, Bellevue, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","unstructured":"Suhrid Balakrishnan and Sumit Chopra. 2012. Collaborative ranking. In WSDM. ACM 143--152. https:\/\/doi.org\/10.1145\/2124295.2124314","DOI":"10.1145\/2124295.2124314"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_39"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","unstructured":"Fatih Cakir Kun He Xide Xia Brian Kulis and Stan Sclaroff. 2019. Deep Metric Learning to Rank. In CVPR. 1861--1870. https:\/\/doi.org\/10.1109\/CVPR.2019.00196","DOI":"10.1109\/CVPR.2019.00196"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54193-8_13"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015366"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E94.D.1854"},{"key":"e_1_3_2_2_7_1","volume-title":"Efficient Optimization for Rank-Based Loss Functions","author":"Mohapatra Pritish","unstructured":"Pritish Mohapatra, Michal Rol\u00ednek, C. V. Jawahar, Vladimir Kolmogorov, and M. Pawan Kumar. 2018. Efficient Optimization for Rank-Based Loss Functions. In CVPR. Computer Vision Foundation \/ IEEE Computer Society, 3693--3701."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","unstructured":"Yitong Pang Lingfei Wu Qi Shen Yiming Zhang Zhihua Wei Fangli Xu Ethan Chang Bo Long and Jian Pei. 2022. Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. In WSDM. ACM 775--783. https:\/\/doi.org\/10.1145\/3488560.3498505","DOI":"10.1145\/3488560.3498505"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Michal Rolinek Vit Musil Anselm Paulus Marin Vlastelica Claudio Michaelis and Georg Martius. 2020. Optimizing Rank-Based Metrics With Blackbox Differentiation. In CVPR.","DOI":"10.1109\/CVPR42600.2020.00764"},{"key":"e_1_3_2_2_10_1","volume-title":"AUC Optimization with a Reject Option","author":"Shen Song-Qing","unstructured":"Song-Qing Shen, Bin-Bin Yang, and Wei Gao. 2020. AUC Optimization with a Reject Option. In AAAI. AAAI Press, 5684--5691. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/6023"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","unstructured":"Yue Shi Alexandros Karatzoglou Linas Baltrunas Martha A. Larson Nuria Oliver and Alan Hanjalic. 2012. CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. In RecSys. ACM 139--146. https:\/\/doi.org\/10.1145\/2365952.2365981","DOI":"10.1145\/2365952.2365981"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","unstructured":"Yue Shi Martha A. Larson and Alan Hanjalic. 2010. List-wise learning to rank with matrix factorization for collaborative filtering. In RecSys. ACM 269--272. https:\/\/doi.org\/10.1145\/1864708.1864764","DOI":"10.1145\/1864708.1864764"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.434"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","unstructured":"Shuang Tang Fangyuan Luo and Jun Wu. 2022. Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. In SIGIR. ACM 2400--2404. https:\/\/doi.org\/10.1145\/3477495.3531865","DOI":"10.1145\/3477495.3531865"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3465401"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","unstructured":"Ziyang Wang Wei Wei Gao Cong Xiao-Li Li Xianling Mao and Minghui Qiu. 2020. Global Context Enhanced Graph Neural Networks for Session-based Recommendation. In SIGIR. ACM 169--178. https:\/\/doi.org\/10.1145\/3397271.3401142","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3031329"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3592033","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3592033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:49Z","timestamp":1750178269000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3592033"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":19,"alternative-id":["10.1145\/3539618.3592033","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3592033","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}