{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:48:22Z","timestamp":1780609702268,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T00:00:00Z","timestamp":1631491200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"BMBF","award":["031L0023A"],"award-info":[{"award-number":["031L0023A"]}]},{"name":"DFG","award":["KL 2698\/2-1"],"award-info":[{"award-number":["KL 2698\/2-1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,13]]},"DOI":"10.1145\/3460231.3474250","type":"proceedings-article","created":{"date-parts":[[2021,9,13]],"date-time":"2021-09-13T21:45:02Z","timestamp":1631569502000},"page":"292-301","source":"Crossref","is-referenced-by-count":4,"title":["Burst-induced Multi-Armed Bandit for Learning Recommendation"],"prefix":"10.1145","author":[{"given":"Rodrigo","family":"Alves","sequence":"first","affiliation":[{"name":"TU Kaiserslautern, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antoine","family":"Ledent","sequence":"additional","affiliation":[{"name":"TU Kaiserslautern, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Kloft","sequence":"additional","affiliation":[{"name":"TU Kaiserslautern, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,9,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2514690"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556252"},{"key":"e_1_3_2_2_3_1","unstructured":"Shipra Agrawal and Navin Goyal. 2013. Further optimal regret bounds for thompson sampling. In Artificial intelligence and statistics. PMLR 99\u2013107.  Shipra Agrawal and Navin Goyal. 2013. Further optimal regret bounds for thompson sampling. In Artificial intelligence and statistics. PMLR 99\u2013107."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344834"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939852"},{"key":"e_1_3_2_2_6_1","volume-title":"Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2","author":"Auer Peter","year":"2002","unstructured":"Peter Auer , Nicolo Cesa-Bianchi , and Paul Fischer . 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 ( 2002 ), 235\u2013256. Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47, 2 (2002), 235\u2013256."},{"key":"e_1_3_2_2_7_1","series-title":"SIAM journal on computing 32, 1","volume-title":"The nonstochastic multiarmed bandit problem","author":"Auer Peter","year":"2002","unstructured":"Peter Auer , Nicolo Cesa-Bianchi , Yoav Freund , and Robert\u00a0 E Schapire . 2002. The nonstochastic multiarmed bandit problem . SIAM journal on computing 32, 1 ( 2002 ), 48\u201377. Peter Auer, Nicolo Cesa-Bianchi, Yoav Freund, and Robert\u00a0E Schapire. 2002. The nonstochastic multiarmed bandit problem. SIAM journal on computing 32, 1 (2002), 48\u201377."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983868"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature03459"},{"key":"e_1_3_2_2_10_1","volume-title":"Stochastic multi-armed-bandit problem with non-stationary rewards. Advances in neural information processing systems 27","author":"Besbes Omar","year":"2014","unstructured":"Omar Besbes , Yonatan Gur , and Assaf Zeevi . 2014. Stochastic multi-armed-bandit problem with non-stationary rewards. Advances in neural information processing systems 27 ( 2014 ), 199\u2013207. Omar Besbes, Yonatan Gur, and Assaf Zeevi. 2014. Stochastic multi-armed-bandit problem with non-stationary rewards. Advances in neural information processing systems 27 (2014), 199\u2013207."},{"key":"e_1_3_2_2_11_1","volume-title":"Recommender systems handbook","author":"Cantador Iv\u00e1n","unstructured":"Iv\u00e1n Cantador , Ignacio Fern\u00e1ndez-Tob\u00edas , Shlomo Berkovsky , and Paolo Cremonesi . 2015. Cross-domain recommender systems . In Recommender systems handbook . Springer , 919\u2013959. Iv\u00e1n Cantador, Ignacio Fern\u00e1ndez-Tob\u00edas, Shlomo Berkovsky, and Paolo Cremonesi. 2015. Cross-domain recommender systems. In Recommender systems handbook. Springer, 919\u2013959."},{"key":"e_1_3_2_2_12_1","volume-title":"The 22nd International Conference on Artificial Intelligence and Statistics. PMLR, 418\u2013427","author":"Cao Yang","year":"2019","unstructured":"Yang Cao , Zheng Wen , Branislav Kveton , and Yao Xie . 2019 . Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit . In The 22nd International Conference on Artificial Intelligence and Statistics. PMLR, 418\u2013427 . Yang Cao, Zheng Wen, Branislav Kveton, and Yao Xie. 2019. Nearly optimal adaptive procedure with change detection for piecewise-stationary bandit. In The 22nd International Conference on Artificial Intelligence and Statistics. PMLR, 418\u2013427."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/e23030380"},{"key":"e_1_3_2_2_14_1","volume-title":"An empirical evaluation of thompson sampling. Advances in neural information processing systems 24","author":"Chapelle Olivier","year":"2011","unstructured":"Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of thompson sampling. Advances in neural information processing systems 24 ( 2011 ), 2249\u20132257. Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of thompson sampling. Advances in neural information processing systems 24 (2011), 2249\u20132257."},{"key":"e_1_3_2_2_15_1","unstructured":"Daryl\u00a0J Daley and David Vere-Jones. 2007. An introduction to the theory of point processes: volume II: general theory and structure. Springer Science & Business Media.  Daryl\u00a0J Daley and David Vere-Jones. 2007. An introduction to the theory of point processes: volume II: general theory and structure. Springer Science & Business Media."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45435-7_18"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079681"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783294"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330862"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24412-4_16"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2020.3022634"},{"key":"e_1_3_2_2_22_1","unstructured":"John Gittins. 1974. A dynamic allocation index for the sequential design of experiments. Progress in statistics(1974) 241\u2013266.  John Gittins. 1974. A dynamic allocation index for the sequential design of experiments. Progress in statistics(1974) 241\u2013266."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1313895111"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2017.8229786"},{"key":"e_1_3_2_2_25_1","unstructured":"Thore Graepel Joaquin\u00a0Quinonero Candela Thomas Borchert and Ralf Herbrich. 2010. Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft\u2019s bing search engine. In ICML.  Thore Graepel Joaquin\u00a0Quinonero Candela Thomas Borchert and Ralf Herbrich. 2010. Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft\u2019s bing search engine. In ICML."},{"key":"e_1_3_2_2_26_1","unstructured":"C\u00e9dric Hartland Sylvain Gelly Nicolas Baskiotis Olivier Teytaud and Michele Sebag. 2006. Multi-armed bandit dynamic environments and meta-bandits. (2006).  C\u00e9dric Hartland Sylvain Gelly Nicolas Baskiotis Olivier Teytaud and Michele Sebag. 2006. Multi-armed bandit dynamic environments and meta-bandits. (2006)."},{"key":"e_1_3_2_2_27_1","volume-title":"Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. In Fourteenth ACM Conference on Recommender Systems. 63\u201372","author":"He Xu","year":"2020","unstructured":"Xu He , Bo An , Yanghua Li , Haikai Chen , Qingyu Guo , Xin Li , and Zhirong Wang . 2020 . Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. In Fourteenth ACM Conference on Recommender Systems. 63\u201372 . Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, and Zhirong Wang. 2020. Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. In Fourteenth ACM Conference on Recommender Systems. 63\u201372."},{"key":"e_1_3_2_2_28_1","unstructured":"Jaya Kawale Hung\u00a0H Bui Branislav Kveton Long Tran-Thanh and Sanjay Chawla. 2015. Efficient thompson sampling for online matrix-factorization recommendation. In Advances in neural information processing systems. 1297\u20131305.  Jaya Kawale Hung\u00a0H Bui Branislav Kveton Long Tran-Thanh and Sanjay Chawla. 2015. Efficient thompson sampling for online matrix-factorization recommendation. In Advances in neural information processing systems. 1297\u20131305."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775061"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2396767"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557088"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339537"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291598"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2808797.2814178"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052650"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1952-09620-8"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Daniel Russo Benjamin Van\u00a0Roy Abbas Kazerouni Ian Osband and Zheng Wen. 2017. A tutorial on thompson sampling. arXiv preprint arXiv:1707.02038(2017).  Daniel Russo Benjamin Van\u00a0Roy Abbas Kazerouni Ian Osband and Zheng Wen. 2017. A tutorial on thompson sampling. arXiv preprint arXiv:1707.02038(2017).","DOI":"10.1561\/9781680834710"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347040"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10758"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Aleksandrs Slivkins. 2019. Introduction to multi-armed bandits. arXiv preprint arXiv:1904.07272(2019).  Aleksandrs Slivkins. 2019. Introduction to multi-armed bandits. arXiv preprint arXiv:1904.07272(2019).","DOI":"10.1561\/9781680836219"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433451"},{"key":"e_1_3_2_2_42_1","volume-title":"Reinforcement learning: An introduction","author":"Sutton S","unstructured":"Richard\u00a0 S Sutton and Andrew\u00a0 G Barto . 2018. Reinforcement learning: An introduction . MIT press . Richard\u00a0S Sutton and Andrew\u00a0G Barto. 2018. Reinforcement learning: An introduction. MIT press."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/25.3-4.285"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488503"},{"key":"e_1_3_2_2_45_1","volume-title":"Time Matters. In Proceedings of the 24th ACM international conference on Multimedia. ACM","author":"Wu Bo","year":"2016","unstructured":"Bo Wu , Wen-Huang Cheng , Yongdong Zhang , and Tao Mei . 2016 . Time Matters. In Proceedings of the 24th ACM international conference on Multimedia. ACM , New York, NY, USA, 1336\u20131344. Bo Wu, Wen-Huang Cheng, Yongdong Zhang, and Tao Mei. 2016. Time Matters. In Proceedings of the 24th ACM international conference on Multimedia. ACM, New York, NY, USA, 1336\u20131344."},{"key":"e_1_3_2_2_46_1","volume-title":"Proceedings of the 30th International Conference on Machine Learning (ICML-13), Sanjoy Dasgupta and David Mcallester (Eds.)","author":"Hongyuan Zha Yang","year":"2013","unstructured":"Shuang-hong Yang and Hongyuan Zha . 2013 . Mixture of Mutually Exciting Processes for Viral Diffusion . In Proceedings of the 30th International Conference on Machine Learning (ICML-13), Sanjoy Dasgupta and David Mcallester (Eds.) , Vol.\u00a028. JMLR Workshop and Conference Proceedings, 1\u20139. http:\/\/jmlr.csail.mit.edu\/proceedings\/papers\/v28\/yang13a.pdf Shuang-hong Yang and Hongyuan Zha. 2013. Mixture of Mutually Exciting Processes for Viral Diffusion. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), Sanjoy Dasgupta and David Mcallester (Eds.), Vol.\u00a028. JMLR Workshop and Conference Proceedings, 1\u20139. http:\/\/jmlr.csail.mit.edu\/proceedings\/papers\/v28\/yang13a.pdf"},{"key":"e_1_3_2_2_47_1","unstructured":"Honglin Yu Lexing Xie and Scott Sanner. 2015. The Lifecyle of a Youtube Video: Phases Content and Popularity. http:\/\/www.aaai.org\/ocs\/index.php\/ICWSM\/ICWSM15\/paper\/view\/10537  Honglin Yu Lexing Xie and Scott Sanner. 2015. The Lifecyle of a Youtube Video: Phases Content and Popularity. http:\/\/www.aaai.org\/ocs\/index.php\/ICWSM\/ICWSM15\/paper\/view\/10537"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553524"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939878"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783401"}],"event":{"name":"RecSys '21: Fifteenth ACM Conference on Recommender Systems","location":"Amsterdam Netherlands","acronym":"RecSys '21","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":["Fifteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474250","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460231.3474250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:17Z","timestamp":1750191137000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474250"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,13]]},"references-count":50,"alternative-id":["10.1145\/3460231.3474250","10.1145\/3460231"],"URL":"https:\/\/doi.org\/10.1145\/3460231.3474250","relation":{},"subject":[],"published":{"date-parts":[[2021,9,13]]}}}