{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:23:33Z","timestamp":1783700613768,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["No. U1605251, 61922073"],"award-info":[{"award-number":["No. U1605251, 61922073"]}]},{"name":"Science Foundation of Ministry of Education of China & China Mobile","award":["No. MCM20170507"],"award-info":[{"award-number":["No. MCM20170507"]}]},{"name":"National Key Research and Development Program of China","award":["No. 2018YFC0832101"],"award-info":[{"award-number":["No. 2018YFC0832101"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3357995","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"1261-1270","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":98,"title":["Exploring Multi-Objective Exercise Recommendations in Online Education Systems"],"prefix":"10.1145","author":[{"given":"Zhenya","family":"Huang","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengxiang","family":"Zhai","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, Urbana, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Yin","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weibo","family":"Gao","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoping","family":"Hu","sequence":"additional","affiliation":[{"name":"iFLYTEK Co., LTD, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568042"},{"key":"e_1_3_2_1_2_1","volume-title":"Dynamic programming","author":"Bellman Richard","unstructured":"Richard Bellman . 2013. Dynamic programming . Courier Corporation . Richard Bellman. 2013. Dynamic programming .Courier Corporation."},{"key":"e_1_3_2_1_3_1","volume-title":"Chi","author":"Chen Minmin","year":"2018","unstructured":"Minmin Chen , Alex Beutel , Paul Covington , Sagar Jain , Francois Belletti , and Ed Chi . 2018 a. Top-K Off-Policy Correction for a REINFORCE Recommender System . arXiv preprint arXiv:1812.02353 (2018). Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, and Ed Chi. 2018a. Top-K Off-Policy Correction for a REINFORCE Recommender System. arXiv preprint arXiv:1812.02353 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Yunxiao Chen Xiaoou Li Jingchen Liu and etal 2018b. Recommendation System for Adaptive Learning. Applied psychological measurement Vol. 42 1 (2018) 24--41. Yunxiao Chen Xiaoou Li Jingchen Liu and et al. 2018b. Recommendation System for Adaptive Learning. Applied psychological measurement Vol. 42 1 (2018) 24--41.","DOI":"10.1177\/0146621617697959"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132929"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3102\/1076998607309474"},{"key":"e_1_3_2_1_7_1","volume-title":"31a review of cognitively diagnostic assessment and a summary of psychometric models. Handbook of statistics","author":"DiBello Louis V","year":"2006","unstructured":"Louis V DiBello , Louis A Roussos , and William Stout . 2006. 31a review of cognitively diagnostic assessment and a summary of psychometric models. Handbook of statistics , Vol. 26 ( 2006 ), 979--1030. Louis V DiBello, Louis A Roussos, and William Stout. 2006. 31a review of cognitively diagnostic assessment and a summary of psychometric models. Handbook of statistics , Vol. 26 (2006), 979--1030."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3051457.3053986"},{"key":"e_1_3_2_1_9_1","volume-title":"word2vec explained: Deriving mikolov et al.'s negative-sampling word-embedding method. arXiv:1402.3722","author":"Goldberg Yoav","year":"2014","unstructured":"Yoav Goldberg and Omer Levy . 2014. word2vec explained: Deriving mikolov et al.'s negative-sampling word-embedding method. arXiv:1402.3722 ( 2014 ). Yoav Goldberg and Omer Levy. 2014. word2vec explained: Deriving mikolov et al.'s negative-sampling word-embedding method. arXiv:1402.3722 (2014)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219902"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1027\/\/1015-5759.16.1.3"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Zhenya Huang Qi Liu Enhong Chen Hongke Zhao Mingyong Gao Si Wei Yu Su and Guoping Hu. 2017. Question Difficulty Prediction for READING Problems in Standard Tests.. In AAAI . 1352--1359. Zhenya Huang Qi Liu Enhong Chen Hongke Zhao Mingyong Gao Si Wei Yu Su and Guoping Hu. 2017. Question Difficulty Prediction for READING Problems in Standard Tests.. In AAAI . 1352--1359.","DOI":"10.1609\/aaai.v31i1.10740"},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913495721"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080822"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3168361"},{"key":"e_1_3_2_1_17_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119. Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_1_18_1","volume-title":"Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602","author":"Mnih Volodymyr","year":"2013","unstructured":"Volodymyr Mnih , Koray Kavukcuoglu , David Silver , Alex Graves , Ioannis Antonoglou , Daan Wierstra , and Martin Riedmiller . 2013. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602 ( 2013 ). Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602 (2013)."},{"key":"e_1_3_2_1_19_1","volume-title":"Neural networks: tricks of the trade","author":"Orr Genevieve B","unstructured":"Genevieve B Orr and Klaus-Robert M\u00fcller . 2003. Neural networks: tricks of the trade . Springer . Genevieve B Orr and Klaus-Robert M\u00fcller. 2003. Neural networks: tricks of the trade .Springer."},{"key":"e_1_3_2_1_20_1","unstructured":"Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas J Guibas and Jascha Sohl-Dickstein. 2015. Deep knowledge tracing. In Advances in Neural Information Processing Systems . 505--513. Chris Piech Jonathan Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas J Guibas and Jascha Sohl-Dickstein. 2015. Deep knowledge tracing. In Advances in Neural Information Processing Systems . 505--513."},{"key":"e_1_3_2_1_21_1","volume-title":"Y. Yin, E. Chen, H. Xiong, Y. Su, and G. Hu.","year":"2019","unstructured":"q. liu, Z. Huang , Y. Yin, E. Chen, H. Xiong, Y. Su, and G. Hu. 2019 . EKT : Exercise-aware Knowledge Tracing for Student Performance Prediction. IEEE Transactions on Knowledge and Data Engineering ( 2019), 1--1. https:\/\/doi.org\/10.1109\/TKDE.2019.2924374 10.1109\/TKDE.2019.2924374 q. liu, Z. Huang , Y. Yin, E. Chen, H. Xiong, Y. Su, and G. Hu. 2019. EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction. IEEE Transactions on Knowledge and Data Engineering (2019), 1--1. https:\/\/doi.org\/10.1109\/TKDE.2019.2924374"},{"key":"e_1_3_2_1_22_1","volume-title":"An introduction to hidden Markov models. ieee assp magazine","author":"Rabiner Lawrence","year":"1986","unstructured":"Lawrence Rabiner and B Juang . 1986. An introduction to hidden Markov models. ieee assp magazine , Vol. 3 , 1 ( 1986 ), 4--16. Lawrence Rabiner and B Juang. 1986. An introduction to hidden Markov models. ieee assp magazine , Vol. 3, 1 (1986), 4--16."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_24_1","volume-title":"Prioritized experience replay. arXiv preprint arXiv:1511.05952","author":"Schaul Tom","year":"2015","unstructured":"Tom Schaul , John Quan , Ioannis Antonoglou , and David Silver . 2015. Prioritized experience replay. arXiv preprint arXiv:1511.05952 ( 2015 ). Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2015. Prioritized experience replay. arXiv preprint arXiv:1511.05952 (2015)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/STAIR.2011.5995802"},{"key":"e_1_3_2_1_26_1","volume-title":"Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et almbox.","author":"Silver David","year":"2016","unstructured":"David Silver , Aja Huang , Chris J Maddison , Arthur Guez , Laurent Sifre , George Van Den Driessche , Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et almbox. 2016 . Mastering the game of Go with deep neural networks and tree search. nature , Vol. 529 , 7587 (2016), 484. David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et almbox. 2016. Mastering the game of Go with deep neural networks and tree search. nature , Vol. 529, 7587 (2016), 484."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11864"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2876034.2893444"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Xueying Tang Yunxiao Chen Xiaoou Li Jingchen Liu and Zhiliang Ying. 2018. A reinforcement learning approach to personalized learning recommendation systems. Brit. J. Math. Statist. Psych. (2018). Xueying Tang Yunxiao Chen Xiaoou Li Jingchen Liu and Zhiliang Ying. 2018. A reinforcement learning approach to personalized learning recommendation systems. Brit. J. Math. Statist. Psych. (2018).","DOI":"10.1111\/bmsp.12144"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.5555\/3220755.3220875"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00065"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2010.08.006"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2913394"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2663422"},{"key":"e_1_3_2_1_35_1","volume-title":"A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322","author":"Wu Le","year":"2019","unstructured":"Le Wu , Peijie Sun , Yanjie Fu , Richang Hong , Xiting Wang , and Meng Wang . 2019. A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322 ( 2019 ). Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, and Meng Wang. 2019. A Neural Influence Diffusion Model for Social Recommendation. arXiv preprint arXiv:1904.10322 (2019)."},{"key":"e_1_3_2_1_36_1","volume-title":"Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. arXiv preprint arXiv:1904.11738","author":"Yeung Chun-Kit","year":"2019","unstructured":"Chun-Kit Yeung . 2019. Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. arXiv preprint arXiv:1904.11738 ( 2019 ). Chun-Kit Yeung. 2019. Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. arXiv preprint arXiv:1904.11738 (2019)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39112-5_18"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052580"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3158670"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219886"}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","location":"Beijing China","acronym":"CIKM '19","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3357995","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3357995","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:05Z","timestamp":1750202585000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3357995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":40,"alternative-id":["10.1145\/3357384.3357995","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3357995","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}