The big data revolution is an exciting opportunity for universities, which typically have rich and complex digital data on their learners. It has motivated many universities around the world to invest in the development and implementation of learning analytics dashboards (LADs).
J. Costa, L. Marinho, R. Santos, и D. Parra. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 175-182. ACM, (июня 2023)
S. Fatahi, M. Mousavifar, и J. Vassileva. Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, стр. 66-77. ACM, (июня 2023)
K. Gajos, и L. Mamykina. 27th International Conference on Intelligent User Interfaces, стр. 794-806. ACM, (марта 2022)Interesting.. Explanations could help you to choose for yourself and learn. Just like we do in MG.
S. Zhang, и K. Balog. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &$\mathsemicolon$ Data Mining, стр. 1512-1520. ACM, (августа 2020)
A. Ajalloeian, M. Vlachos, J. Schneider, и A. Steinmann. Proceedings of the 31st ACM International Conference on Information &$\mathsemicolon$ Knowledge Management, стр. 2853-2862. ACM, (октября 2022)Very interesting case of recommendations. Music to play... Need to have skill level and also same music could be recommended many times....
Y. Qin, P. Wang, B. Ma, и Z. Zhang. Proceedings of the 31st ACM International Conference on Information &$\mathsemicolon$ Knowledge Management, стр. 1655–1665. ACM, (октября 2022)
M. Chatti, M. Guesmi, L. Vorgerd, T. Ngo, S. Joarder, Q. Ain, и A. Muslim. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 254-264. ACM, (июля 2022)Several detail-levels of explanations and their match to individual differences.
D. Zaken, A. Segal, D. Cavalier, G. Shani, и K. Gal. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 69-78. ACM, (июля 2022)
L. Steinert, F. Kölling, F. Putze, D. Küster, и T. Schultz. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, стр. 89-98. ACM, (июля 2022)Example of a patient focused recsys and evaluation.
M. Millecamp, N. Htun, Y. Jin, и K. Verbert. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, стр. 101-109. ACM, (июля 2018)
A. Starke, M. Willemsen, и C. Snijders. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 229-237. ACM, (июня 2021)
M. Tavakoli, A. Faraji, M. Molavi, S. Mol, и G. Kismihók. (2021)cite arxiv:2112.12100Comment: This paper has been accepted to be published in the 12th International Learning Analytics and Knowledge (LAK'2022), March 21--25, 2022. ACM.
S. Zhang, L. Yao, A. Sun, и Y. Tay. (2017)cite arxiv:1707.07435Comment: The paper has been accepted by ACM Computing Surveys. https://doi.acm.org/10.1145/3285029.
J. O'Donovan, и B. Smyth. IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, стр. 167--174. New York, NY, USA, ACM Press, (2005)
N. Tintarev, и J. Masthoff. Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop, стр. 801--810. Washington, DC, USA, IEEE Computer Society, (2007)
K. Balog, F. Radlinski, и S. Arakelyan. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, стр. 265-274. ACM, (июля 2019)
N. Felicioni, M. Dacrema, и P. Cremonesi. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 10-15. ACM, (июня 2021)
N. Sonboli, J. Smith, F. Berenfus, R. Burke, и C. Fiesler. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 274-279. ACM, (июня 2021)How to explain recommendations that are generated from fairness prospect?.
V. Kaffes, D. Sacharidis, и G. Giannopoulos. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 280-285. ACM, (июня 2021)
D. Jannach, M. Jesse, M. Jugovac, и C. Trattner. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 224-228. ACM, (июня 2021)
R. Yu, Z. Pardos, H. Chau, и P. Brusilovsky. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 238-245. ACM, (июня 2021)
S. Najafian, A. Delic, M. Tkalcic, и N. Tintarev. Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, стр. 14-23. ACM, (июня 2021)
Y. Wang, L. Wang, Y. Li, D. He, и T. Liu. Proceedings of the 26th Annual Conference on Learning Theory, том 30 из Proceedings of Machine Learning Research, стр. 25--54. Princeton, NJ, USA, PMLR, (июня 2013)
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, и P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
G. Schröder, M. Thiele, и W. Lehner. Proceedings of the Workshop on User-Centric Evaluation of Recommender Systems and Their Interfaces, стр. 78--85. Chicago, USA, CEUR-WS, (октября 2011)