{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:15:48Z","timestamp":1775283348999,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,10,6]],"date-time":"2014-10-06T00:00:00Z","timestamp":1412553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100006112","name":"Microsoft Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006112","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["200021_137971"],"award-info":[{"award-number":["200021_137971"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["Starting Grant 307036"],"award-info":[{"award-number":["Starting Grant 307036"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,10,6]]},"DOI":"10.1145\/2645710.2645733","type":"proceedings-article","created":{"date-parts":[[2014,10,1]],"date-time":"2014-10-01T13:35:08Z","timestamp":1412170508000},"page":"225-232","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":49,"title":["Explore-exploit in top-N recommender systems via Gaussian processes"],"prefix":"10.1145","author":[{"given":"Hastagiri P.","family":"Vanchinathan","sequence":"first","affiliation":[{"name":"ETH Zurich, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isidor","family":"Nikolic","sequence":"additional","affiliation":[{"name":"Microsoft, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"De Bona","sequence":"additional","affiliation":[{"name":"Google!, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Krause","sequence":"additional","affiliation":[{"name":"ETH Zurich, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,10,6]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Yahoo! webscope program. http:\/\/webscope.sandbox.yahoo.com. Accessed: 20\/02\/2013.  Yahoo! webscope program. http:\/\/webscope.sandbox.yahoo.com. Accessed: 20\/02\/2013."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148177"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013689704352"},{"key":"e_1_3_2_2_4_1","volume-title":"AISTATS","author":"Chu W.","year":"2011","unstructured":"W. Chu , L. Li , L. Reyzin , and R. E. Schapire . Contextual bandits with linear payoff functions . In AISTATS , 2011 . W. Chu, L. Li, L. Reyzin, and R. E. Schapire. Contextual bandits with linear payoff functions. In AISTATS, 2011."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557138"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341545"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864721"},{"key":"e_1_3_2_2_8_1","volume-title":"ICML","author":"Desautels T.","year":"2012","unstructured":"T. Desautels , A. Krause , and J. Burdick . Parallelizing exploration-exploitation tradeoffs with gaussian process bandit optimization . In ICML , 2012 . T. Desautels, A. Krause, and J. Burdick. Parallelizing exploration-exploitation tradeoffs with gaussian process bandit optimization. In ICML, 2012."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/945365.964285"},{"key":"e_1_3_2_2_10_1","volume-title":"ICML","author":"Gomes R.","year":"2010","unstructured":"R. Gomes and A. Krause . Budgeted nonparametric learning from data streams . In ICML , 2010 . R. Gomes and A. Krause. Budgeted nonparametric learning from data streams. In ICML, 2010."},{"key":"e_1_3_2_2_11_1","volume-title":"NIPS","author":"Kale S.","year":"2010","unstructured":"S. Kale , L. Reyzin , and R. E. Schapire . Non-stochastic bandit slate problems . In NIPS , 2010 . S. Kale, L. Reyzin, and R. E. Schapire. Non-stochastic bandit slate problems. In NIPS, 2010."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1374376.1374475"},{"key":"e_1_3_2_2_13_1","volume-title":"ICML","author":"Kondor R. I.","year":"2002","unstructured":"R. I. Kondor and J. Lafferty . Diffusion kernels on graphs and other discrete structures . In ICML , 2002 . R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete structures. In ICML, 2002."},{"key":"e_1_3_2_2_14_1","volume-title":"COLT","author":"Koolen W. M.","year":"2010","unstructured":"W. M. Koolen , M. K. Warmuth , and J. Kivinen . Hedging structured concepts . In COLT , 2010 . W. M. Koolen, M. K. Warmuth, and J. Kivinen. Hedging structured concepts. In COLT, 2010."},{"key":"e_1_3_2_2_15_1","volume-title":"NIPS","author":"Krause A.","year":"2011","unstructured":"A. Krause and C. S. Ong . Contextual gaussian process bandit optimization . In NIPS , 2011 . A. Krause and C. S. Ong. Contextual gaussian process bandit optimization. In NIPS, 2011."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365992"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772758"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935878"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-006-9019-z"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3206.001.0001","volume-title":"Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)","author":"Rasmussen C. E.","year":"2005","unstructured":"C. E. Rasmussen and C. K. I. Williams . Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) . The MIT Press , 2005 . C. E. Rasmussen and C. K. I. Williams. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning). The MIT Press, 2005."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/1941884"},{"key":"e_1_3_2_2_22_1","volume-title":"Regularization, Optimization, and Beyond","author":"Scholkopf B.","year":"2001","unstructured":"B. Scholkopf and A. J. Smola . Learning with Kernels: Support Vector Machines , Regularization, Optimization, and Beyond . MIT Press , Cambridge, MA, USA , 2001 . B. Scholkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA, 2001."},{"key":"e_1_3_2_2_23_1","volume-title":"ICML","author":"Slivkins A.","year":"2010","unstructured":"A. Slivkins , F. Radlinski , and S. Gollapudi . Learning optimally diverse rankings over large document collections . In ICML , 2010 . A. Slivkins, F. Radlinski, and S. Gollapudi. Learning optimally diverse rankings over large document collections. In ICML, 2010."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2182033"},{"key":"e_1_3_2_2_25_1","volume-title":"NIPS","author":"Streeter M.","year":"2009","unstructured":"M. Streeter , D. Golovin , and A. Krause . Online learning of assignments . In NIPS , 2009 . M. Streeter, D. Golovin, and A. Krause. Online learning of assignments. In NIPS, 2009."},{"key":"e_1_3_2_2_26_1","volume-title":"NIPS","author":"Yue Y.","year":"2011","unstructured":"Y. Yue and C. Guestrin . Linear submodular bandits and their application to diversified retrieval . In NIPS , 2011 . Y. Yue and C. Guestrin. Linear submodular bandits and their application to diversified retrieval. In NIPS, 2011."}],"event":{"name":"RecSys'14: Eighth ACM Conference on Recommender Systems","location":"Foster City, Silicon Valley California USA","acronym":"RecSys'14","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","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","SIGecom Special Interest Group on Economics and Computation"]},"container-title":["Proceedings of the 8th ACM Conference on Recommender systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2645710.2645733","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2645710.2645733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:34:57Z","timestamp":1750232097000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2645710.2645733"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,10,6]]},"references-count":26,"alternative-id":["10.1145\/2645710.2645733","10.1145\/2645710"],"URL":"https:\/\/doi.org\/10.1145\/2645710.2645733","relation":{},"subject":[],"published":{"date-parts":[[2014,10,6]]},"assertion":[{"value":"2014-10-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}