{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:03:47Z","timestamp":1773101027175,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":52,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"SURF Cooperative","award":["EINF-4538"],"award-info":[{"award-number":["EINF-4538"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,14]]},"DOI":"10.1145\/3604915.3608788","type":"proceedings-article","created":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T22:40:23Z","timestamp":1694731223000},"page":"306-317","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5036-3780","authenticated-orcid":false,"given":"Norman","family":"Knyazev","sequence":"first","affiliation":[{"name":"Radboud University, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0458-9233","authenticated-orcid":false,"given":"Harrie","family":"Oosterhuis","sequence":"additional","affiliation":[{"name":"Radboud University, Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mart\u00edn Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg\u00a0S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Man\u00e9 Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Vi\u00e9gas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems."},{"key":"e_1_3_2_1_2_1","unstructured":"Gediminas Adomavicius Sreeharsha Kamireddy and YoungOk Kwon. 2007. Towards More Confident Recommendations: Improving Recommender Systems Using Filtering Approach Based on Rating Variance. (2007) 6."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3411532"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3320435.3320453"},{"key":"e_1_3_2_1_5_1","volume-title":"Risk-Aware Recommender Systems","author":"Bouneffouf Djallel","unstructured":"Djallel Bouneffouf, Amel Bouzeghoub, and Alda\u00a0Lopes Ganarski. 2013. Risk-Aware Recommender Systems. In Neural Information Processing, Minho Lee, Akira Hirose, Zeng-Guang Hou, and Rhee\u00a0Man Kil (Eds.). Springer, 57\u201365."},{"key":"e_1_3_2_1_6_1","unstructured":"James Bradbury Roy Frostig Peter Hawkins Matthew\u00a0James Johnson Chris Leary Dougal Maclaurin George Necula Adam Paszke Jake VanderPlas Skye Wanderman-Milne and Qiao Zhang. 2018. JAX: composable transformations of Python+NumPy programs."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.1992.10475878"},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. JMLR Workshop and Conference Proceedings, 208\u2013214","author":"Chu Wei","year":"2011","unstructured":"Wei Chu, Lihong Li, Lev Reyzin, and Robert Schapire. 2011. Contextual Bandits with Linear Payoff Functions. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics. JMLR Workshop and Conference Proceedings, 208\u2013214."},{"key":"e_1_3_2_1_9_1","unstructured":"Annie Cuyt Vigdis\u00a0Brevik Petersen Brigitte Verdonk Haakon Waadeland and William\u00a0B. Jones (Eds.). 2008. Handbook of Continued Fractions for Special Functions. Springer."},{"key":"e_1_3_2_1_10_1","volume-title":"Handbook of beta distribution and its applications","author":"Gupta K","unstructured":"Arjun\u00a0K Gupta and Saralees Nadarajah. 2004. Handbook of beta distribution and its applications. CRC press."},{"key":"e_1_3_2_1_11_1","volume-title":"The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5, 4","author":"Harper F\u00a0Maxwell","year":"2015","unstructured":"F\u00a0Maxwell Harper and Joseph\u00a0A Konstan. 2015. The movielens datasets: History and context. Acm transactions on interactive intelligent systems (tiis) 5, 4 (2015), 1\u201319."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/358916.358995"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498375"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-05946-3"},{"key":"e_1_3_2_1_15_1","volume-title":"Pessimistic Reward Models for Off-Policy Learning in Recommendation. In Fifteenth ACM Conference on Recommender Systems. 63\u201374","author":"Jeunen Olivier","year":"2021","unstructured":"Olivier Jeunen and Bart Goethals. 2021. Pessimistic Reward Models for Off-Policy Learning in Recommendation. In Fifteenth ACM Conference on Recommender Systems. 63\u201374."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/956863.956922"},{"key":"e_1_3_2_1_17_1","first-page":"1","article-title":"Logistic matrix factorization for implicit feedback data","volume":"27","author":"Johnson C","year":"2014","unstructured":"Christopher\u00a0C Johnson. 2014. Logistic matrix factorization for implicit feedback data. Advances in Neural Information Processing Systems 27, 78 (2014), 1\u20139.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_18_1","volume-title":"Beta distributions. Continuous univariate distributions","author":"Johnson L","year":"1994","unstructured":"Norman\u00a0L Johnson, Samuel Kotz, and N Balakrishnan. 1994. Beta distributions. Continuous univariate distributions. 2nd ed. New York, NY: John Wiley and Sons (1994), 221\u2013235.","edition":"2"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09892-9"},{"key":"e_1_3_2_1_20_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2017","unstructured":"Diederik\u00a0P. Kingma and Jimmy Ba. 2017. Adam: A Method for Stochastic Optimization. arxiv:1412.6980\u00a0[cs]"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99229-7_36"},{"key":"e_1_3_2_1_22_1","volume-title":"Explaining the user experience of recommender systems. User modeling and user-adapted interaction 22, 4","author":"Knijnenburg P","year":"2012","unstructured":"Bart\u00a0P Knijnenburg, Martijn\u00a0C Willemsen, Zeno Gantner, Hakan Soncu, and Chris Newell. 2012. Explaining the user experience of recommender systems. User modeling and user-adapted interaction 22, 4 (2012), 441\u2013504."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539813.3545142"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557072"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren and Robert Bell. 2011. Advances in Collaborative Filtering. In Recommender Systems Handbook Francesco Ricci Lior Rokach Bracha Shapira and Paul\u00a0B. Kantor (Eds.). Springer US 145\u2013186.","DOI":"10.1007\/978-0-387-85820-3_5"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043956"},{"key":"e_1_3_2_1_28_1","unstructured":"Yew\u00a0Jin Lim and Yee\u00a0Whye Teh. 2007. Variational Bayesian Approach to Movie Rating Prediction. (2007)."},{"key":"e_1_3_2_1_29_1","volume-title":"Collaborative filtering: A machine learning perspective","author":"Marlin Benjamin","unstructured":"Benjamin Marlin. 2004. Collaborative filtering: A machine learning perspective. University of Toronto Toronto."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.12.102"},{"key":"e_1_3_2_1_31_1","unstructured":"Sean McNee Shyong Lam Catherine Guetzlaff Joseph Konstan and John Riedl. 2003. Confidence Displays and Training in Recommender Systems."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-018-0526-3"},{"key":"e_1_3_2_1_33_1","volume-title":"Advances in Neural Information Processing Systems, Vol.\u00a020. Curran Associates","author":"Mnih Andriy","unstructured":"Andriy Mnih and Russ\u00a0R Salakhutdinov. 2007. Probabilistic Matrix Factorization. In Advances in Neural Information Processing Systems, Vol.\u00a020. Curran Associates, Inc."},{"key":"e_1_3_2_1_34_1","volume-title":"international conference on machine learning. PMLR, 7034\u20137044","author":"Moon Jooyoung","year":"2020","unstructured":"Jooyoung Moon, Jihyo Kim, Younghak Shin, and Sangheum Hwang. 2020. Confidence-aware learning for deep neural networks. In international conference on machine learning. PMLR, 7034\u20137044."},{"key":"e_1_3_2_1_35_1","volume-title":"The Effect of Feedback Granularity on Recommender Systems Performance. In Sixteenth ACM Conference on Recommender Systems. ACM, 586\u2013591","author":"Peska Ladislav","year":"2022","unstructured":"Ladislav Peska and Stepan Balcar. 2022. The Effect of Feedback Granularity on Recommender Systems Performance. In Sixteenth ACM Conference on Recommender Systems. ACM, 586\u2013591."},{"key":"e_1_3_2_1_36_1","volume-title":"When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models. In CHI Conference on Human Factors in Computing Systems. 1\u201314","author":"Rechkemmer Amy","year":"2022","unstructured":"Amy Rechkemmer and Ming Yin. 2022. When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models. In CHI Conference on Human Factors in Computing Systems. 1\u201314."},{"key":"e_1_3_2_1_37_1","volume-title":"Critiquing with Confidence","author":"Reilly James","unstructured":"James Reilly, Barry Smyth, Lorraine McGinty, and Kevin McCarthy. 2005. Critiquing with Confidence. In Case-Based Reasoning Research and Development, H\u00e9ctor Mu\u00f1oz-\u00c1vila and Francesco Ricci (Eds.). Springer, 436\u2013450."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412488"},{"key":"e_1_3_2_1_39_1","volume-title":"On the difficulty of evaluating baselines: A study on recommender systems. arXiv preprint arXiv:1905.01395","author":"Rendle Steffen","year":"2019","unstructured":"Steffen Rendle, Li Zhang, and Yehuda Koren. 2019. On the difficulty of evaluating baselines: A study on recommender systems. arXiv preprint arXiv:1905.01395 (2019)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7637-6"},{"key":"e_1_3_2_1_41_1","volume-title":"Derivatives of the Incomplete Beta Function. Journal of Statistical Software 03","author":"Robinson-Cox James","year":"1998","unstructured":"James Robinson-Cox and Robert Boik. 1998. Derivatives of the Incomplete Beta Function. Journal of Statistical Software 03 (1998)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390267"},{"key":"e_1_3_2_1_43_1","volume-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning. 1670\u20131679","author":"Schnabel Tobias","year":"2016","unstructured":"Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims. 2016. Recommendations As Treatments: Debiasing Learning and Evaluation. In Proceedings of the 33rd International Conference on International Conference on Machine Learning. 1670\u20131679."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/223904.223931"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507160"},{"key":"e_1_3_2_1_47_1","unstructured":"Adith Swaminathan and Thorsten Joachims. 2015. The Self-Normalized Estimator for Counterfactual Learning. In Advances in Neural Information Processing Systems Vol.\u00a028. 3231\u20133239."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(86)90046-X"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11251"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.12.004"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000066"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2392756"}],"event":{"name":"RecSys '23: Seventeenth ACM Conference on Recommender Systems","location":"Singapore Singapore","acronym":"RecSys '23","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"]},"container-title":["Proceedings of the 17th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608788","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604915.3608788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:06Z","timestamp":1750178766000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604915.3608788"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,14]]},"references-count":52,"alternative-id":["10.1145\/3604915.3608788","10.1145\/3604915"],"URL":"https:\/\/doi.org\/10.1145\/3604915.3608788","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"}}]}}