{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T03:48:59Z","timestamp":1775274539043,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030046477","type":"print"},{"value":"9783030046484","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-04648-4_35","type":"book-chapter","created":{"date-parts":[[2018,11,17]],"date-time":"2018-11-17T00:53:52Z","timestamp":1542416032000},"page":"415-426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Forgetting Punished Recommendations for MOOC"],"prefix":"10.1007","author":[{"given":"Yanxia","family":"Pang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,18]]},"reference":[{"key":"35_CR1","first-page":"13","volume":"8","author":"L Breslow","year":"2013","unstructured":"Breslow, L., Pritchard, D.E., De Boer, J., Stump, G.S., Ho, A.D., Seaton, D.T.: Studying learning in the worldwide classroom: research into edX\u2019s first MOOC. Res. Pract. Assess. 8, 13\u201325 (2013)","journal-title":"Res. Pract. Assess."},{"key":"35_CR2","doi-asserted-by":"crossref","unstructured":"Kizilcec, R.F., Piech, C., Schneider, E.: Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In: Proceedings of the Third International Conference on Learning Analytics and Knowledge, pp. 170\u2013179. ACM (2013)","DOI":"10.1145\/2460296.2460330"},{"key":"35_CR3","unstructured":"Pappano, L.: The year of the MOOC. New York Times, New York (2012)"},{"key":"35_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/978-3-319-31753-3_8","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"A Polyzou","year":"2016","unstructured":"Polyzou, A., Karypis, G.: Grade prediction with course and student specific models. In: Bailey, J., Khan, L., Washio, T., Dobbie, G., Huang, J.Z., Wang, R. (eds.) PAKDD 2016. LNCS (LNAI), vol. 9651, pp. 89\u2013101. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-31753-3_8"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Yang, Y., Liu, H., Carbonell, J., Ma, W.: Concept graph learning from educational data. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp. 159\u2013168. ACM (2015)","DOI":"10.1145\/2684822.2685292"},{"issue":"3","key":"35_CR6","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s00778-010-0198-2","volume":"20","author":"J Liu","year":"2011","unstructured":"Liu, J., Jiang, L., Wu, Z., Zheng, Q., Qian, Y.: Mining learning dependency between knowledge units from text. VLDB J. Int. J. Very Large Data Bases 20(3), 335\u2013345 (2011)","journal-title":"VLDB J. Int. J. Very Large Data Bases"},{"key":"35_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-319-20910-4_18","volume-title":"Advances in Data Mining: Applications and Theoretical Aspects","author":"X Huang","year":"2015","unstructured":"Huang, X., Yang, K., Lawrence, V.B.: An efficient data mining approach to concept map generation for adaptive learning. In: Perner, P. (ed.) ICDM 2015. LNCS (LNAI), vol. 9165, pp. 247\u2013260. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-20910-4_18"},{"key":"35_CR8","unstructured":"Scheines, R., Silver, E., Goldin, I.M.: Discovering prerequisite relationships among knowledge components. In: EDM, pp. 355\u2013356 (2014)"},{"key":"35_CR9","unstructured":"Vuong, A., Nixon, T., Towle, B.: A method for finding prerequisites within a curriculum. In: EDM, pp. 211\u2013216 (2011)"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"Liang, C., Wu, Z., Huang, W., Giles, C.L.: Measuring prerequisite relations among concepts. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1668\u20131674 (2015)","DOI":"10.18653\/v1\/D15-1193"},{"key":"35_CR11","unstructured":"Talukdar, P.P., Cohen, W.W.: Crowd sourced comprehension: predicting prerequisite structure in Wikipedia. In: Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, pp. 307\u2013315. Association for Computational Linguistics (2012)"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Wang, S., et al.: Using prerequisites to extract concept maps from textbooks. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 317\u2013326. ACM (2016)","DOI":"10.1145\/2983323.2983725"},{"key":"35_CR13","doi-asserted-by":"crossref","unstructured":"Agrawal, R., Golshan, B., Terzi, E.: Grouping students in educational settings. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1017\u20131026. ACM (2014)","DOI":"10.1145\/2623330.2623748"},{"key":"35_CR14","unstructured":"Lu, Z., Pan, S.J., Li, Y., Jiang, J., Yang, Q.: Collaborative evolution for user profiling in recommender systems. In: IJCAI, pp. 3804\u20133810 (2016)"},{"issue":"11","key":"35_CR15","doi-asserted-by":"crossref","first-page":"992","DOI":"10.14778\/3402707.3402736","volume":"4","author":"Y Sun","year":"2011","unstructured":"Sun, Y., Han, J., Yan, X., Yu, P.S., Wu, T.: Pathsim: meta path-based top-k similarity search in heterogeneous information networks. Proc. VLDB Endow. 4(11), 992\u20131003 (2011)","journal-title":"Proc. VLDB Endow."},{"key":"35_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1007\/978-3-319-46922-5_24","volume-title":"Databases Theory and Applications","author":"Y Chen","year":"2016","unstructured":"Chen, Y., Zhao, X., Gan, J., Ren, J., Hu, Y.: Content-based top-N recommendation using heterogeneous relations. In: Cheema, M.A., Zhang, W., Chang, L. (eds.) ADC 2016. LNCS, vol. 9877, pp. 308\u2013320. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46922-5_24"},{"key":"35_CR17","doi-asserted-by":"crossref","unstructured":"Yu, H., O\u2019Riedl, M.: A sequential recommendation approach for interactive personalized story generation. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 71\u201378. International Foundation for Autonomous Agents and Multiagent Systems (2012)","DOI":"10.65109\/GZWU8944"},{"issue":"2","key":"35_CR18","first-page":"144","volume":"12","author":"Y-M Huang","year":"2009","unstructured":"Huang, Y.-M., Huang, T.-C., Wang, K.-T., Hwang, W.-Y.: A Markov-based recommendation model for exploring the transfer of learning on the web. J. Educ. Technol. Soc. 12(2), 144 (2009)","journal-title":"J. Educ. Technol. Soc."},{"key":"35_CR19","unstructured":"Mi, F., Faltings, B.: Adaptive sequential recommendation using context trees. In: IJCAI, pp. 4018\u20134019 (2016)"},{"issue":"1","key":"35_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.6029\/smartcr.2011.01.006","volume":"1","author":"Y Lee","year":"2011","unstructured":"Lee, Y., Cho, J.: An intelligent course recommendation system. SmartCR 1(1), 69\u201384 (2011)","journal-title":"SmartCR"},{"key":"35_CR21","unstructured":"Education Growth Advisors: Learning to adapt: understanding the adaptive learning supplier landscape. PLN\/Bill and Melinda Gates Foundation (2013)"},{"issue":"4","key":"35_CR22","doi-asserted-by":"publisher","first-page":"155","DOI":"10.5214\/ans.0972.7531.200408","volume":"20","author":"H Ebbinghaus","year":"2013","unstructured":"Ebbinghaus, H.: Memory: a contribution to experimental psychology. Ann. Neurosci. 20(4), 155 (2013)","journal-title":"Ann. Neurosci."},{"issue":"3","key":"35_CR23","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1037\/0003-066X.54.3.182","volume":"54","author":"DL Schacter","year":"1999","unstructured":"Schacter, D.L.: The seven sins of memory: insights from psychology and cognitive neuroscience. Am. Psychol. 54(3), 182 (1999)","journal-title":"Am. Psychol."},{"issue":"1","key":"35_CR24","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.jmp.2010.08.009","volume":"55","author":"L Averell","year":"2011","unstructured":"Averell, L., Heathcote, A.: The form of the forgetting curve and the fate of memories. J. Math. Psychol. 55(1), 25\u201335 (2011)","journal-title":"J. Math. Psychol."},{"key":"35_CR25","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 43\u201352. Morgan Kaufmann Publishers Inc. (1998)"},{"key":"35_CR26","unstructured":"Clark, D.: Adaptive MOOCs. CogBooks adaptive learning. Copyright CogBooks (2013)"}],"container-title":["Lecture Notes in Computer Science","Computational Data and Social Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-04648-4_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T02:55:19Z","timestamp":1775271319000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-04648-4_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030046477","9783030046484"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-04648-4_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"CSoNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Social Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csonet2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/optnetsci.cise.ufl.edu\/CSoNet\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"106","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"44","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"42% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}