{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:18:25Z","timestamp":1762409905524,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032104885","type":"print"},{"value":"9783032104892","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T00:00:00Z","timestamp":1762473600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T00:00:00Z","timestamp":1762473600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-10489-2_3","type":"book-chapter","created":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:03:20Z","timestamp":1762409000000},"page":"23-34","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Empirical Comparison of\u00a0Four Recommendation Models for\u00a0Course Selection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5899-5917","authenticated-orcid":false,"given":"Diego","family":"Cheuquep\u00e1n-Maldonado","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordi","family":"Escayola Mansilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,7]]},"reference":[{"issue":"2","key":"3_CR1","doi-asserted-by":"publisher","first-page":"560","DOI":"10.3390\/make5020033","volume":"5","author":"S Algarni","year":"2023","unstructured":"Algarni, S., Sheldon, F.: Systematic review of recommendation systems for course selection. Mach. Learn. Knowl. Extr. 5(2), 560\u2013596 (2023). https:\/\/doi.org\/10.3390\/make5020033","journal-title":"Mach. Learn. Knowl. Extr."},{"key":"3_CR2","doi-asserted-by":"publisher","unstructured":"Bhumichitr, K., Channarukul, S., Saejiem, N., Jiamthapthaksin, R., Nongpong, K.: Recommender systems for university elective course recommendation. In: 2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 1\u20135. IEEE, Nakhon Si Thammarat, Thailand (2017). https:\/\/doi.org\/10.1109\/JCSSE.2017.8025933","DOI":"10.1109\/JCSSE.2017.8025933"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1007\/978-1-4899-7637-6_26","volume-title":"Recommender Systems Handbook","author":"P Castells","year":"2015","unstructured":"Castells, P., Hurley, N.J., Vargas, S.: Novelty and diversity in recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 881\u2013918. Springer, Boston, MA (2015). https:\/\/doi.org\/10.1007\/978-1-4899-7637-6_26"},{"issue":"2","key":"3_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3434185","volume":"39","author":"M Ferrari Dacrema","year":"2021","unstructured":"Ferrari Dacrema, M., Boglio, S., Cremonesi, P., Jannach, D.: A troubling analysis of reproducibility and progress in recommender systems research. ACM Trans. Inf. Syst. 39(2), 1\u201349 (2021). https:\/\/doi.org\/10.1145\/3434185","journal-title":"ACM Trans. Inf. Syst."},{"key":"3_CR5","unstructured":"Implicit: Fast Python collaborative filtering for implicit feedback datasets. https:\/\/pypi.org\/project\/implicit\/. Accessed 30 June 2025"},{"issue":"2","key":"3_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.3390\/data6020018","volume":"6","author":"DB Guruge","year":"2021","unstructured":"Guruge, D.B., Kadel, R., Halder, S.J.: The state of the art in methodologies of course recommender systems-a review of recent research. Data 6(2), 18 (2021). https:\/\/doi.org\/10.3390\/data6020018","journal-title":"Data"},{"key":"3_CR7","doi-asserted-by":"publisher","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: Eighth IEEE International Conference on Data Mining, Pisa, Italy, pp. 263\u2013272. IEEE (2008). https:\/\/doi.org\/10.1109\/ICDM.2008.22","DOI":"10.1109\/ICDM.2008.22"},{"key":"3_CR8","unstructured":"Johnson, C.C.: Logistic matrix factorization for implicit feedback data. In: Workshop on Distributed Machine Learning and Matrix Computations, pp. 1\u20139. [n. p.], Montreal, Canada (2014)"},{"key":"3_CR9","unstructured":"Kula, M.: Metadata embeddings for user and item cold-start recommendations. In: Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems, pp. 14\u201321. CEUR-WS.org, Vienna, Austria (2015)"},{"key":"3_CR10","doi-asserted-by":"publisher","unstructured":"Lee, E.L., Kuo, T.T., Lin, S.D.: A collaborative filtering-based two stage model with item dependency for course recommendation. In: 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA), Tokyo, Japan, pp. 496\u2013503. IEEE (2017). https:\/\/doi.org\/10.1109\/DSAA.2017.18","DOI":"10.1109\/DSAA.2017.18"},{"key":"3_CR11","doi-asserted-by":"publisher","unstructured":"Muzdybayeva, G., Khashimova, D., Amirzhanov, A., Kadyrov, S.: A matrix factorization-based collaborative filtering framework for course recommendations in higher education. In: 2023 17th International Conference on Electronics Computer and Computation (ICECCO), Kaskelen, Kazakhstan, pp. 1\u20134. IEEE (2023). https:\/\/doi.org\/10.1109\/ICECCO58239.2023.10147152","DOI":"10.1109\/ICECCO58239.2023.10147152"},{"key":"3_CR12","doi-asserted-by":"publisher","unstructured":"Naik, A., Kumar, A.B., Virupaksha, D., Priyanka, H.: Elective recommendation system. In: 2023 IEEE Technology and Engineering Management Conference-Asia Pacific (TEMSCON-ASPAC), Bengaluru, India, pp. 1\u20135. IEEE (2023). https:\/\/doi.org\/10.1109\/TEMSCON-ASPAC59527.2023.10531403","DOI":"10.1109\/TEMSCON-ASPAC59527.2023.10531403"},{"key":"3_CR13","doi-asserted-by":"publisher","unstructured":"Pan, R., et al.: One-class collaborative filtering. In: Eighth IEEE International Conference on Data Mining, Pisa, Italy, pp. 502\u2013511. IEEE (2008). https:\/\/doi.org\/10.1109\/ICDM.2008.16","DOI":"10.1109\/ICDM.2008.16"},{"key":"3_CR14","doi-asserted-by":"publisher","unstructured":"Qazi, A.G., Pachler, N.: Conceptualising a data analytics framework to support targeted teacher professional development. Prof. Dev. Educ. 51(3), 495\u2013518 (2024). https:\/\/doi.org\/10.1080\/19415257.2024.2422066","DOI":"10.1080\/19415257.2024.2422066"},{"key":"3_CR15","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: BPR: Bayesian personalized ranking from implicit feedback. In: Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, Canada, pp. 452\u2013461. AUAI Press (2009)"},{"issue":"8","key":"3_CR16","doi-asserted-by":"publisher","first-page":"44","DOI":"10.3991\/ijim.v16i18.32197","volume":"16","author":"S Rima","year":"2022","unstructured":"Rima, S., Meriem, H., Najima, D., Rachida, A.: Systematic literature review on open educational resources recommender systems. Int. J. Interact. Mob. Technol. 16(8), 44\u201377 (2022). https:\/\/doi.org\/10.3991\/ijim.v16i18.32197","journal-title":"Int. J. Interact. Mob. Technol."},{"key":"3_CR17","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/978-0-387-85820-3_8","volume-title":"Recommender Systems Handbook","author":"G Shani","year":"2011","unstructured":"Shani, G., Gunawardana, A.: Evaluating recommendation systems. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 257\u2013297. Springer, Boston, MA (2011). https:\/\/doi.org\/10.1007\/978-0-387-85820-3_8"},{"issue":"7","key":"3_CR18","doi-asserted-by":"publisher","first-page":"723","DOI":"10.3390\/educsci14070723","volume":"14","author":"V Siafis","year":"2024","unstructured":"Siafis, V., Rangoussi, M., Psaromiligkos, Y.: Recommender systems for teachers: a systematic literature review of recent (2011\u20132023) research. Educ. Sci. 14(7), 723 (2024). https:\/\/doi.org\/10.3390\/educsci14070723","journal-title":"Educ. Sci."},{"key":"3_CR19","doi-asserted-by":"publisher","unstructured":"Shah, D., Shah, P., Banerjee, A.: Similarity based regularization for online matrix-factorization problem: an application to course recommender systems. In: 2017 IEEE Region 10 Conference, Penang, Malaysia, pp. 1874\u20131879. IEEE (2017). https:\/\/doi.org\/10.1109\/TENCON.2017.8228164","DOI":"10.1109\/TENCON.2017.8228164"},{"key":"3_CR20","unstructured":"Weston, J., Bengio, S., Usunier, N.: WSABIE: scaling up to large vocabulary image annotation. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Barcelona, Spain, pp. 2764\u20132770. AAAI Press (2011)"},{"key":"3_CR21","doi-asserted-by":"publisher","unstructured":"Yao, X., Li, X.: Optimizing university teachers learning progress: evolving study efficiency with artificial intelligence agent. In: 7th International Conference on Big Data and Artificial Intelligence, Beijing, China, pp. 241\u2013246. IEEE (2024). https:\/\/doi.org\/10.1109\/BDAI62182.2024.10692441","DOI":"10.1109\/BDAI62182.2024.10692441"},{"key":"3_CR22","doi-asserted-by":"publisher","unstructured":"Zhang, L.: The definition of novelty in recommendation system. J. Eng. Sci. Technol. Rev. 6(3), 141\u2013145 (2013). https:\/\/doi.org\/10.25103\/jestr.063.25","DOI":"10.25103\/jestr.063.25"}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-10489-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T06:03:26Z","timestamp":1762409006000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-10489-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,7]]},"ISBN":["9783032104885","9783032104892"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-10489-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,7]]},"assertion":[{"value":"7 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ja\u00e9n","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ideal2025.ujaen.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}