{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:11:37Z","timestamp":1757617897227,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3705328.3748083","type":"proceedings-article","created":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T10:46:13Z","timestamp":1757155573000},"page":"72-81","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Breaking Knowledge Boundaries: Cognitive Distillation-enhanced Cross-Behavior Course Recommendation Model"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1878-4893","authenticated-orcid":false,"given":"Ruoyu","family":"Li","sequence":"first","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8561-922X","authenticated-orcid":false,"given":"Yangtao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7038-4144","authenticated-orcid":false,"given":"Chenzhang","family":"Li","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0334-6375","authenticated-orcid":false,"given":"Hua","family":"Chu","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5219-4597","authenticated-orcid":false,"given":"Jianan","family":"Li","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0312-8101","authenticated-orcid":false,"given":"Yuhan","family":"Bian","sequence":"additional","affiliation":[{"name":"Xidian University, Xi'an, Shaanxi, China"}]}],"member":"320","published-online":{"date-parts":[[2025,9,7]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6229"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00126-0_6"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25629"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"R\u00a0Philip Chalmers. 2012. mirt: A multidimensional item response theory package for the R environment. Journal of statistical Software 48 (2012) 1\u201329.","DOI":"10.18637\/jss.v048.i06"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"crossref","unstructured":"Chong Chen Min Zhang Yongfeng Zhang Yiqun Liu and Shaoping Ma. 2020. Efficient neural matrix factorization without sampling for recommendation. ACM Transactions on Information Systems (TOIS) 38 2 (2020) 1\u201328.","DOI":"10.1145\/3373807"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-52240-7_13"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"crossref","unstructured":"Jimmy De\u00a0La\u00a0Torre. 2009. DINA model and parameter estimation: A didactic. Journal of educational and behavioral statistics 34 1 (2009) 115\u2013130.","DOI":"10.3102\/1076998607309474"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Weiwei Deng Peihu Zhu Han Chen Tao Yuan and Ji Wu. 2023. Knowledge-aware sequence modelling with deep learning for online course recommendation. Information Processing & Management 60 4 (2023) 103377.","DOI":"10.1016\/j.ipm.2023.103377"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"crossref","unstructured":"Hendrik Drachsler Hans\u00a0GK Hummel and Rob Koper. 2008. Personal recommender systems for learners in lifelong learning networks: the requirements techniques and model. International Journal of Learning Technology 3 4 (2008) 404\u2013423.","DOI":"10.1504\/IJLT.2008.019376"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"crossref","unstructured":"Ju Fan Yuanchun Jiang Yezheng Liu and Yonghang Zhou. 2022. Interpretable MOOC recommendation: a multi-attention network for personalized learning behavior analysis. Internet Research 32 2 (2022) 588\u2013605.","DOI":"10.1108\/INTR-08-2020-0477"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"crossref","unstructured":"Ronald\u00a0A Fisher. 1936. The use of multiple measurements in taxonomic problems. Annals of eugenics 7 2 (1936) 179\u2013188.","DOI":"10.1111\/j.1469-1809.1936.tb02137.x"},{"key":"e_1_3_3_1_13_2","unstructured":"Mary Forehand. 2010. Bloom\u2019s taxonomy. Emerging perspectives on learning teaching and technology 41 4 (2010) 47\u201356."},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462932"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Jianping Gou Baosheng Yu Stephen\u00a0J Maybank and Dacheng Tao. 2021. Knowledge distillation: A survey. International Journal of Computer Vision 129 6 (2021) 1789\u20131819.","DOI":"10.1007\/s11263-021-01453-z"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054157"},{"key":"e_1_3_3_1_19_2","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1503.02531 (2015)."},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3130348.3130374"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487589"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"crossref","unstructured":"Yehuda Koren Robert Bell and Chris Volinsky. 2009. Matrix factorization techniques for recommender systems. Computer 42 8 (2009) 30\u201337.","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591742"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"crossref","unstructured":"Zihao Li Aixin Sun and Chenliang Li. 2023. Diffurec: A diffusion model for sequential recommendation. ACM Transactions on Information Systems 42 3 (2023) 1\u201328.","DOI":"10.1145\/3631116"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"crossref","unstructured":"Yuanguo Lin Shibo Feng Fan Lin Wenhua Zeng Yong Liu and Pengcheng Wu. 2021. Adaptive course recommendation in MOOCs. Knowledge-Based Systems 224 (2021) 107085.","DOI":"10.1016\/j.knosys.2021.107085"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"crossref","unstructured":"Qi Liu Zhenya Huang Yu Yin Enhong Chen Hui Xiong Yu Su and Guoping Hu. 2019. Ekt: Exercise-aware knowledge tracing for student performance prediction. IEEE Transactions on Knowledge and Data Engineering 33 1 (2019) 100\u2013115.","DOI":"10.1109\/TKDE.2019.2924374"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Wenjun Ma Wen Chen Liuxing Lu and Xiaomao Fan. 2024. Integrating learners\u2019 knowledge background to improve course recommendation fairness: A multi-graph recommendation method based on contrastive learning. Information Processing & Management 61 4 (2024) 103750.","DOI":"10.1016\/j.ipm.2024.103750"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"crossref","unstructured":"Wenjun Ma Yibing Zhao and Xiaomao Fan. 2023. Cascaded knowledge-level fusion network for online course recommendation system. IEEE Transactions on Big Data 10 4 (2023) 457\u2013469.","DOI":"10.1109\/TBDATA.2023.3346711"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102422"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683438"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.4324\/9781315736013"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_3_1_33_2","unstructured":"Steffen Rendle Christoph Freudenthaler Zeno Gantner and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1205.2618 (2012)."},{"key":"e_1_3_3_1_34_2","unstructured":"Adriana Romero Nicolas Ballas Samira\u00a0Ebrahimi Kahou Antoine Chassang Carlo Gatta and Yoshua Bengio. 2014. Fitnets: Hints for thin deep nets. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1412.6550 (2014)."},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"crossref","unstructured":"Jianshan Sun Suyuan Mei Kun Yuan Yuanchun Jiang and Jie Cao. 2024. Prerequisite-enhanced category-aware graph neural networks for course recommendation. ACM Transactions on Knowledge Discovery from Data 18 5 (2024) 1\u201321.","DOI":"10.1145\/3643644"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6080"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"crossref","unstructured":"Fei Wang Qi Liu Enhong Chen Zhenya Huang Yu Yin Shijin Wang and Yu Su. 2022. NeuralCD: a general framework for cognitive diagnosis. IEEE Transactions on Knowledge and Data Engineering 35 8 (2022) 8312\u20138327.","DOI":"10.1109\/TKDE.2022.3201037"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"crossref","unstructured":"Lin Wang and Kuk-Jin Yoon. 2021. Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks. IEEE transactions on pattern analysis and machine intelligence 44 6 (2021) 3048\u20133068.","DOI":"10.1109\/TPAMI.2021.3055564"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"crossref","unstructured":"Xinhua Wang Wenyun Ma Lei Guo Haoran Jiang Fangai Liu and Changdi Xu. 2022. HGNN: Hyperedge-based graph neural network for MOOC course recommendation. Information Processing & Management 59 3 (2022) 102938.","DOI":"10.1016\/j.ipm.2022.102938"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01070"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/547"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01200"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482010"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"crossref","unstructured":"Huanyu Zhang Xiaoxuan Shen Baolin Yi Wei Wang and Yong Feng. 2023. KGAN: Knowledge grouping aggregation network for course recommendation in MOOCs. Expert Systems with Applications 211 (2023) 118344.","DOI":"10.1016\/j.eswa.2022.118344"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301435"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"crossref","unstructured":"Guanhao Zhao Zhenya Huang Yan Zhuang Haoyang Bi Yiyan Wang Fei Wang Zhiyuan Ma and Yixia Zhao. 2024. A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment. IEEE Transactions on Learning Technologies (2024).","DOI":"10.1109\/TLT.2024.3492214"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"crossref","unstructured":"Wujie Zhou Jiankang Hong Xiaoxiao Ran Weiqing Yan and Qiuping Jiang. 2024. DSANet-KD: Dual semantic approximation network via knowledge distillation for rail surface defect detection. IEEE Transactions on Intelligent Transportation Systems (2024).","DOI":"10.1109\/TITS.2024.3385744"},{"key":"e_1_3_3_1_50_2","unstructured":"Xiatian Zhu Shaogang Gong et\u00a0al. 2018. Knowledge distillation by on-the-fly native ensemble. Advances in neural information processing systems 31 (2018)."}],"event":{"name":"RecSys '25: Nineteenth ACM Conference on Recommender Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGIR ACM Special Interest Group on Information Retrieval","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Prague Czech Republic","acronym":"RecSys '25"},"container-title":["Proceedings of the Nineteenth ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3705328.3748083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,6]],"date-time":"2025-09-06T11:47:39Z","timestamp":1757159259000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3705328.3748083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,7]]},"references-count":49,"alternative-id":["10.1145\/3705328.3748083","10.1145\/3705328"],"URL":"https:\/\/doi.org\/10.1145\/3705328.3748083","relation":{},"subject":[],"published":{"date-parts":[[2025,9,7]]},"assertion":[{"value":"2025-09-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}