{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:21:31Z","timestamp":1775913691157,"version":"3.50.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T00:00:00Z","timestamp":1655164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T00:00:00Z","timestamp":1655164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"this work is supported by major achievements cul- tivation project of collaborative innovation center of assessment toward basic education quality at beijing normal university","award":["2020-05-0034-BZPK01"],"award-info":[{"award-number":["2020-05-0034-BZPK01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10489-022-03758-z","type":"journal-article","created":{"date-parts":[[2022,6,14]],"date-time":"2022-06-14T18:04:40Z","timestamp":1655229880000},"page":"4665-4684","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["ABiNE-CRS: course recommender system in online education using attributed bipartite network embedding"],"prefix":"10.1007","volume":"53","author":[{"given":"Hafsa Kabir","family":"Ahmad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Qi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7860-5208","authenticated-orcid":false,"given":"Zhenqiang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bello Ahmad","family":"Muhammad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,14]]},"reference":[{"issue":"4","key":"3758_CR1","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1007\/s10462-015-9440-z","volume":"44","author":"A Kla\u0161nja-Mili\u0107vi\u0107","year":"2015","unstructured":"Kla\u0161nja-Mili\u0107vi\u0107 A, Ivanovi\u0107 M, Nanopoulos A (2015) Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions. Artif Intell Rev 44(4):571\u2013604. https:\/\/doi.org\/10.1007\/s10462-015-9440-z","journal-title":"Artif Intell Rev"},{"key":"3758_CR2","doi-asserted-by":"publisher","unstructured":"Raj NS, Renumol VG (2021) A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. Comput Educ J (0123456789). https:\/\/doi.org\/10.1007\/s40692-021-00199-4","DOI":"10.1007\/s40692-021-00199-4"},{"issue":"4","key":"3758_CR3","doi-asserted-by":"publisher","first-page":"2635","DOI":"10.1007\/s10639-019-10063-9","volume":"25","author":"SS Khanal","year":"2020","unstructured":"Khanal SS, Prasad PWC, Alsadoon A, Maag A (2020) A systematic review: machine learning based recommendation systems for e-learning. Educ Inf Technol 25(4):2635\u20132664. https:\/\/doi.org\/10.1007\/s10639-019-10063-9","journal-title":"Educ Inf Technol"},{"issue":"3","key":"3758_CR4","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1016\/j.ipm.2018.12.007","volume":"56","author":"MK Najafabadi","year":"2019","unstructured":"Najafabadi MK, Mohamed A, Onn CW (2019) An impact of time and item influencer in collaborative filtering recommendations using graph-based model. Inf Process Manag 56(3):526\u2013540. https:\/\/doi.org\/10.1016\/j.ipm.2018.12.007","journal-title":"Inf Process Manag"},{"key":"3758_CR5","doi-asserted-by":"publisher","unstructured":"Jing X, Tang J (2017) Guess you like: course recommendation in moocs. In: Proceedings - EEE\/WIC\/ACM international conference on web intelligence, pp 783\u2013789. https:\/\/doi.org\/10.1145\/3106426.3106478","DOI":"10.1145\/3106426.3106478"},{"key":"3758_CR6","doi-asserted-by":"publisher","unstructured":"Yin S, Yang K, Wang H (2020) A mooc courses recommendation system based on learning behaviour. In: ACM turing award celebration conference international conference proceeding series, pp 133\u2013137. https:\/\/doi.org\/10.1145\/3393527.3393550","DOI":"10.1145\/3393527.3393550"},{"issue":"2","key":"3758_CR7","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s00779-018-01197-7","volume":"23","author":"A Dias","year":"2019","unstructured":"Dias A, Wives LK (2019) Recommender system for learning objects based in the fusion of social signals, interests, and preferences of learner users in ubiquitous e-learning systems. Pers Ubiquit Comput 23 (2):249\u2013268. https:\/\/doi.org\/10.1007\/s00779-018-01197-7","journal-title":"Pers Ubiquit Comput"},{"issue":"8","key":"3758_CR8","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1080\/00220671.1937.10880693","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337. https:\/\/doi.org\/10.1080\/00220671.1937.10880693","journal-title":"Computer"},{"key":"3758_CR9","unstructured":"Salakhutdinov R, Mnih A (2009) Probabilistic matrix factorization. In: Advances in neural information processing systems 20 - proceedings of the 2007 conference, pp 1\u20138"},{"key":"3758_CR10","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) BPR: bayesian personalized ranking from implicit feedback. In: Proceedings of the 25th conference on uncertainty in artificial intelligence, pp 452\u2013461"},{"key":"3758_CR11","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.eswa.2018.09.053","volume":"118","author":"P Symeonidis","year":"2019","unstructured":"Symeonidis P, Malakoudis D (2019) Multi-modal matrix factorization with side information for recommending massive open online courses. Expert Syst Appl 118:261\u2013271. https:\/\/doi.org\/10.1016\/j.eswa.2018.09.053","journal-title":"Expert Syst Appl"},{"key":"3758_CR12","doi-asserted-by":"crossref","unstructured":"Li J, Chang C, Yang Z, Fu H, Tang Y (2019) Probability matrix factorization algorithm for course recommendation system fusing the influence of nearest neighbor users based on cloud model. In: Tang Y, Zu Q, Rodr\u00edguez Garc\u00eda JG (eds) Human Centered Computing, pp 488-496. Springer, Cham","DOI":"10.1007\/978-3-030-15127-0_49"},{"issue":"1","key":"3758_CR13","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1007\/s11036-018-1131-y","volume":"24","author":"H Zhang","year":"2019","unstructured":"Zhang H, Huang T, Lv Z, Liu S, Yang H (2019) MOOCRC: a highly accurate resource recommendation model for use in mooc environments. Mob Netw Appl 24 (1):34\u201346. https:\/\/doi.org\/10.1007\/s11036-018-1131-y","journal-title":"Mob Netw Appl"},{"key":"3758_CR14","doi-asserted-by":"crossref","unstructured":"Yang X, Jiang W (2019) Dynamic online course recommendation based on course network and user network. In: 7Th international conference of smart city and informatization , iSCI, Guangzhou, China, pp 180\u2013196","DOI":"10.1007\/978-981-15-1301-5_15"},{"key":"3758_CR15","doi-asserted-by":"publisher","first-page":"100010","DOI":"10.1016\/j.caeai.2021.100010","volume":"2","author":"J Wang","year":"2021","unstructured":"Wang J, Xie H, Wang FL, Lee L-K, Au OTS (2021) Top-n personalized recommendation with graph neural networks in moocs. Computers and Education: Artificial Intelligence 2:100010. https:\/\/doi.org\/10.1016\/j.caeai.2021.100010","journal-title":"Computers and Education: Artificial Intelligence"},{"key":"3758_CR16","doi-asserted-by":"publisher","unstructured":"Ahmad HK, Wu Z, Muhammad BA (2020) A conceptual framework for top-N recommendation using attributed bipartite graph embedding. In: International conference on networking and network applications (NaNA), pp 400\u2013404. https:\/\/doi.org\/10.1109\/NaNA51271.2020.00074","DOI":"10.1109\/NaNA51271.2020.00074"},{"key":"3758_CR17","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla J, Ortega F, Hernando A, Guti\u00e9rrez A (2013) Recommender systems survey. Knowl-Based Syst 46:109\u2013132. https:\/\/doi.org\/10.1016\/j.knosys.2013.03.012","journal-title":"Knowl-Based Syst"},{"key":"3758_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2009\/421425","volume":"2009(Section 3)","author":"X Su","year":"2009","unstructured":"Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Adv Artif Intell 2009(Section 3):1\u201319. https:\/\/doi.org\/10.1155\/2009\/421425","journal-title":"Adv Artif Intell"},{"issue":"2","key":"3758_CR19","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1007\/s10489-019-01542-0","volume":"50","author":"Y Pan","year":"2020","unstructured":"Pan Y, He F, Yu H, Li H (2020) Learning adaptive trust strength with user roles of truster and trustee for trust-aware recommender systems. Appl Intell 50 (2):314\u2013327. https:\/\/doi.org\/10.1007\/s10489-019-01542-0","journal-title":"Appl Intell"},{"issue":"8","key":"3758_CR20","doi-asserted-by":"publisher","first-page":"1633","DOI":"10.1109\/TPAMI.2016.2605085","volume":"39","author":"B Yang","year":"2017","unstructured":"Yang B, Lei Y, Liu J, Li W (2017) Social collaborative filtering by trust. IEEE Trans Pattern Anal Mach Intell 39(8):1633\u20131647. https:\/\/doi.org\/10.1109\/TPAMI.2016.2605085","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3758_CR21","doi-asserted-by":"publisher","unstructured":"Pan Y, He F, Yu H (2020) A correlative denoising autoencoder to model social influence for top-N recommender system. Frontiers of Computer Science 14(3). https:\/\/doi.org\/10.1007\/s11704-019-8123-3","DOI":"10.1007\/s11704-019-8123-3"},{"issue":"4","key":"3758_CR22","doi-asserted-by":"publisher","first-page":"2259","DOI":"10.1007\/s11280-020-00793-z","volume":"23","author":"Y Pan","year":"2020","unstructured":"Pan Y, He F, Yu H (2020) Learning social representations with deep autoencoder for recommender system. World Wide Web 23(4):2259\u20132279. https:\/\/doi.org\/10.1007\/s11280-020-00793-z","journal-title":"World Wide Web"},{"key":"3758_CR23","doi-asserted-by":"crossref","unstructured":"Chin JY, Zhao K, Joty S, Cong G (2018) ANR : Aspect-based Neural Recommender. In: Proceedings -27th ACM international conference on information and knowledge management (CIKM 2018)","DOI":"10.1145\/3269206.3271810"},{"key":"3758_CR24","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.neucom.2018.12.025","volume":"332","author":"Y Pan","year":"2019","unstructured":"Pan Y, He F, Yu H (2019) A novel enhanced collaborative autoencoder with knowledge distillation for top-n recommender systems. Neurocomputing 332:137\u2013148. https:\/\/doi.org\/10.1016\/j.neucom.2018.12.025","journal-title":"Neurocomputing"},{"key":"3758_CR25","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.knosys.2018.01.003","volume":"145","author":"H Wu","year":"2018","unstructured":"Wu H, Zhang Z, Yue K, Zhang B, He J, Sun L (2018) Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowledge-Based Systems 145:46\u201358. https:\/\/doi.org\/10.1016\/j.knosys.2018.01.003","journal-title":"Knowledge-Based Systems"},{"key":"3758_CR26","doi-asserted-by":"publisher","unstructured":"He X, Liao L, Zhang H, Nie L, Hu X, Chua T-S (2017) Neural collaborative filtering. In: Proceedings of the 26th international conference on world wide web. WWW \u201917, pp 173\u2013182. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE. https:\/\/doi.org\/10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"3758_CR27","doi-asserted-by":"publisher","unstructured":"Chen CM, Tsai MF, Wang CJ, Yang YH (2019) Collaborative similarity embedding for recommender systems. In: Proceedings of the world wide web conference, pp 2637\u20132643. https:\/\/doi.org\/10.1145\/3308558.3313493","DOI":"10.1145\/3308558.3313493"},{"issue":"1","key":"3758_CR28","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/TKDE.2020.2979980","volume":"34","author":"M Gao","year":"2022","unstructured":"Gao M, He X, Chen L, Liu T, Zhang J, Zhou A (2022) Learning vertex representations for bipartite networks. IEEE Trans Knowl Data Eng 34(1):379\u2013393. https:\/\/doi.org\/10.1109\/TKDE.2020.2979980","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3758_CR29","doi-asserted-by":"publisher","unstructured":"Ahmed H, Ali S (2019) Research on bipartite network embedding with auxiliary information. In: Proceedings of the IEEE international conference on software engineering and service sciences, ICSESS, pp 298\u2013303. https:\/\/doi.org\/10.1109\/ICSESS47205.2019.9040780","DOI":"10.1109\/ICSESS47205.2019.9040780"},{"key":"3758_CR30","doi-asserted-by":"publisher","unstructured":"Wang X, He X, Wang M, Feng F, Chua T-S (2019) Neural graph collaborative filtering. In: Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval. SIGIR\u201919, pp 165\u2013174. Association for Computing Machinery, New York. https:\/\/doi.org\/10.1145\/3331184.3331267","DOI":"10.1145\/3331184.3331267"},{"key":"3758_CR31","doi-asserted-by":"publisher","unstructured":"He X, Deng K, Wang X, Li Y, Zhang Y, Wang M (2020) LightGCN: simplifying and powering graph convolution network for recommendation, pp 639\u2013648. Association for Computing Machinery, New York. https:\/\/doi.org\/10.1145\/3397271.3401063","DOI":"10.1145\/3397271.3401063"},{"key":"3758_CR32","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.neucom.2020.05.080","volume":"409","author":"C Hou","year":"2020","unstructured":"Hou C, He S, Tang K (2020) RoSANE : robust and scalable attributed network embedding for sparse networks. Neurocomputing 409:231\u2013243. https:\/\/doi.org\/10.1016\/j.neucom.2020.05.080","journal-title":"Neurocomputing"},{"issue":"18","key":"3758_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/data6020018","volume":"6","author":"SJ Halder","year":"2021","unstructured":"Halder SJ (2021) The state of the art in methodologies of course recommender systems \u2014 a review of recent research. Data 6(18):1\u201330. https:\/\/doi.org\/10.3390\/data6020018","journal-title":"Data"},{"key":"3758_CR34","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. In: 1St international conference on learning representations, ICLR 2013 - workshop track proceedings, pp 1\u201312"},{"key":"3758_CR35","doi-asserted-by":"publisher","unstructured":"Deng H, Lyu MR, King I (2009) A generalized Co-HITS algorithm and its application to bipartite graphs. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, pp 239\u2013247. https:\/\/doi.org\/10.1145\/1557019.1557051","DOI":"10.1145\/1557019.1557051"},{"key":"3758_CR36","unstructured":"Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. In: 1st international conference on learning representations, ICLR 2013 - workshop track proceedings, pp 1\u201312"},{"key":"3758_CR37","first-page":"1135","volume":"7","author":"AW Moore","year":"2006","unstructured":"Moore AW (2006) New algorithms for efficient high-dimensional nonparametric classification. J Mach Learn Res 7:1135\u20131158","journal-title":"J Mach Learn Res"},{"key":"3758_CR38","doi-asserted-by":"publisher","unstructured":"Grover A, Leskovec J (2016) Node2Vec. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining KDD, pp 855\u2013864. https:\/\/doi.org\/10.1145\/2939672.2939754","DOI":"10.1145\/2939672.2939754"},{"key":"3758_CR39","doi-asserted-by":"publisher","unstructured":"Perozzi B, Al-Rfou R, Skiena S (2014) DeepWalk: online learning of social representations. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, pp 701\u2013710. https:\/\/doi.org\/10.1145\/2623330.2623732","DOI":"10.1145\/2623330.2623732"},{"key":"3758_CR40","doi-asserted-by":"publisher","unstructured":"Yu J, Luo G, Xiao T, Zhong Q, Wang Y, Feng W, Luo J, Wang C, Hou L, Li J, Liu Z, Tang J (2020) MOOCCube: a large-scale data repository for nlp applications in MOOCs. In: Proceedings of the 58th annual meeting of the association for computational linguistics, pp 3135\u20133142. https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.285","DOI":"10.18653\/v1\/2020.acl-main.285"},{"key":"3758_CR41","doi-asserted-by":"publisher","first-page":"118379","DOI":"10.1109\/ACCESS.2021.3101039","volume":"9","author":"I Uddin","year":"2021","unstructured":"Uddin I, Imran AS, Muhammad K, Fayyaz N, Sajjad M (2021) A systematic mapping review on MOOC recommender systems. IEEE Access 9:118379\u2013118405. https:\/\/doi.org\/10.1109\/ACCESS.2021.3101039","journal-title":"IEEE Access"},{"key":"3758_CR42","doi-asserted-by":"publisher","unstructured":"Amatriain X, Jaimes A, Oliver N, Pujol JM (2011) Data mining methods for recommender systems. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) pp 39\u201371. Springer, Boston. https:\/\/doi.org\/10.1007\/978-0-387-85820-3_2","DOI":"10.1007\/978-0-387-85820-3_2"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03758-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03758-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03758-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T07:45:28Z","timestamp":1675237528000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03758-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,14]]},"references-count":42,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3758"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03758-z","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,14]]},"assertion":[{"value":"10 May 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}}]}}