{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:31:20Z","timestamp":1743103880392,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030880804"},{"type":"electronic","value":"9783030880811"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88081-1_13","type":"book-chapter","created":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T11:07:08Z","timestamp":1632913628000},"page":"167-179","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Deep Matrix Factorization for Learning Resources Recommendation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5208-2843","authenticated-orcid":false,"given":"Tran Thanh","family":"Dien","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1386-1390","authenticated-orcid":false,"given":"Nguyen","family":"Thanh-Hai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9127-2778","authenticated-orcid":false,"given":"Nguyen Thai","family":"Nghe","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,9,30]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","unstructured":"Wang, X., Huang, H.: Research on library personalized recommendation system based on restricted Boltzmann machine. In: 2020 5th International Conference on Education and Social Development (ICESD 2020), pp. 293\u2013297 (2020). https:\/\/doi.org\/10.12783\/dtssehs\/icesd2020\/34428","DOI":"10.12783\/dtssehs\/icesd2020\/34428"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Xu, H., Ren, S., Yan, J., Li, Z.: Research and design of recommendation in book circle system. J. Phys. Conf. Ser. 1629(1), 012063 (2020). https:\/\/doi.org\/10.1088\/1742-6596\/1629\/1\/012063","DOI":"10.1088\/1742-6596\/1629\/1\/012063"},{"key":"13_CR3","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-981-13-1610-4_12","volume":"828","author":"R Passi","year":"2019","unstructured":"Passi, R., Jain, S., Singh, P.K.: Hybrid approach for recommendation system. Adv. Intell. Syst. Comput. 828, 117\u2013128 (2019). https:\/\/doi.org\/10.1007\/978-981-13-1610-4_12","journal-title":"Adv. Intell. Syst. Comput."},{"key":"13_CR4","doi-asserted-by":"publisher","unstructured":"Hariadi, A.I., Nurjanah, D.: Hybrid attribute and personality based recommender system for book recommendation. In: 2017 International Conference on Data and Software Engineering (ICoDSE), pp. 1\u20135. IEEE (2017). https:\/\/doi.org\/10.1109\/ICODSE.2017.8285874","DOI":"10.1109\/ICODSE.2017.8285874"},{"key":"13_CR5","unstructured":"Nirwan, H., Verma, O.P., Kanojia, A.: Personalized hybrid book recommender system using neural network. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1281\u20131288 (2016)"},{"key":"13_CR6","doi-asserted-by":"publisher","unstructured":"Aissaoui, O.E., Oughdir, L.: A learning style-based Ontology Matching to enhance learning resources recommendation. In: 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), pp. 1\u20137 (2020). https:\/\/doi.org\/10.1109\/IRASET48871.2020.9092142","DOI":"10.1109\/IRASET48871.2020.9092142"},{"key":"13_CR7","doi-asserted-by":"publisher","unstructured":"Arabi, H., Balakrishnan, V., Mohd Shuib, N.L.: A context-aware personalized hybrid book recommender system. J. Web Eng. 19 (2020). https:\/\/doi.org\/10.13052\/jwe1540-9589.19343","DOI":"10.13052\/jwe1540-9589.19343"},{"issue":"8","key":"13_CR8","doi-asserted-by":"publisher","first-page":"711","DOI":"10.14569\/IJACSA.2020.0110886","volume":"11","author":"TT Dien","year":"2020","unstructured":"Dien, T.T., Luu, S.H., Thanh-Hai, N., Thai-Nghe, N.: Deep learning with data transformation and factor analysis for student performance prediction. Int. J. Adv. Comput. Sci. Appl. 11(8), 711\u2013721 (2020). https:\/\/doi.org\/10.14569\/IJACSA.2020.0110886","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"13_CR9","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-981-33-4370-2_5","volume-title":"Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications","author":"TT Dien","year":"2020","unstructured":"Dien, T.T., Hoai-Sang, L., Thanh-Hai, N., Thai-Nghe, N.: Course recommendation with deep learning approach. In: Dang, T.K., K\u00fcng, J., Takizawa, M., Chung, T.M. (eds.) FDSE 2020. CCIS, vol. 1306, pp. 63\u201377. Springer, Singapore (2020). https:\/\/doi.org\/10.1007\/978-981-33-4370-2_5"},{"key":"13_CR10","doi-asserted-by":"publisher","unstructured":"Zhang, F., Song, J., Peng, S.: Deep Matrix Factorization for Recommender Systems with Missing Data not at Random. Journal of Physics: Conference Series 1060, 012001 (2018). https:\/\/doi.org\/10.1088\/1742-6596\/1060\/1\/012001","DOI":"10.1088\/1742-6596\/1060\/1\/012001"},{"key":"13_CR11","doi-asserted-by":"publisher","unstructured":"Guo, H., Tang, R., Ye, Y., Li, Z., He, X.: Deepfm: a factorization-machine based neural network for CTR prediction. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017, pp. 1725\u20131731. AAAI Press (2017). https:\/\/doi.org\/10.24963\/ijcai.2017\/239","DOI":"10.24963\/ijcai.2017\/239"},{"issue":"4","key":"13_CR12","doi-asserted-by":"publisher","first-page":"2635","DOI":"10.1007\/s10639-019-10063-9","volume":"25","author":"SS Khanal","year":"2019","unstructured":"Khanal, S.S., Prasad, P.W.C., Alsadoon, A., Maag, A.: A systematic review: machine learning based recommendation systems for e-learning. Edu. Inf. Technol. 25(4), 2635\u20132664 (2019). https:\/\/doi.org\/10.1007\/s10639-019-10063-9","journal-title":"Edu. Inf. Technol."},{"key":"13_CR13","doi-asserted-by":"publisher","unstructured":"Gomez-Uribe, C.A., Hunt, N.: The netflix recommender system: algorithms, business value, and innovation. ACM Trans. Manage. Inf. Syst. 6(4) (2015). https:\/\/doi.org\/10.1145\/2843948","DOI":"10.1145\/2843948"},{"key":"13_CR14","unstructured":"George, T., Merugu, S.: A scalable collaborative filtering framework based on co-clustering. In: Fifth IEEE International Conference on Data Mining (ICDM 2005), p. 4 (2005)"},{"issue":"8","key":"13_CR15","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009). https:\/\/doi.org\/10.1109\/MC.2009.263","journal-title":"Computer"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88081-1_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,29]],"date-time":"2021-09-29T11:12:30Z","timestamp":1632913950000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88081-1_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030880804","9783030880811"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88081-1_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"30 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rhodos","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2021\/","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 (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"231","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"58","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"25% - 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 (provided by the conference organizers)"}},{"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 (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}