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).
L. Eberhard, S. Walk, and D. Helic. Proceedings of the 31st ACM Conference on Hypertext and Social Media, page 301-306. ACM, (July 2020)Interesting implementation of recommendations in responce to a narrative requests like "Movies like X, but with Y".
M. Millecamp, N. Htun, C. Conati, and K. Verbert. Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, ACM, (July 2020)
M. Molavi, M. Tavakoli, and G. Kismihók. (2020)cite arxiv:2006.11109Comment: Editted version of this paper has been accepted to be published in the proceedings of The European Conference on Technology-Enhanced Learning (EC-TEL) 2020 by Springer (Lecture Notes in Computer Science (LNCS) Series).
M. Tavakoli, S. Mol, and G. Kismihók. (2020)cite arxiv:2005.07465Comment: This paper has been accepted to be published in the proceedings of CSEDU 2020 by SciTePress.
H. Hou, and C. Shi. Proceedings of the 5th International Conference on Frontiers of Educational Technologies, page 53--57. New York, NY, USA, ACM, (2019)
Y. Xian, Z. Fu, S. Muthukrishnan, G. de Melo, and Y. Zhang. Proceedings of the 42Nd International ACM SIGIR Conference on Research and Development in Information Retrieval, page 285--294. New York, NY, USA, ACM, (2019)
R. Jäschke, A. Hotho, F. Mitzlaff, and G. Stumme. Recommender Systems for the Social Web, volume 32 of Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
R. Jäschke, F. Eisterlehner, A. Hotho, and G. Stumme. RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems, New York, NY, USA, ACM, (2009)(to appear).
C. Bauer. 1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR 2019), satellite event to 20th annual conference of the International Society for Music Information Retrieval (ISMIR 2019), page 16-18. (November 2019)
J. Breese, D. Heckerman, and C. Kadie. (2013)cite arxiv:1301.7363Comment: Appears in Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI1998).
J. Barria-Pineda, K. Akhuseyinoglu, and P. Brusilovsky. International Workshop on Transparent Personalization Methods based on Heterogeneous Personal Data, ExHUM at the 27th ACM Conference On User Modelling, Adaptation And Personalization, UMAP '19, page 273--277. New York, NY, USA, ACM, (2019)
C. Tsai, and P. Brusilovsky. Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, page 22--30. New York, NY, USA, ACM, (2019)
C. Tsai, and P. Brusilovsky. Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, page 22--30. New York, NY, USA, ACM, (2019)
N. Tintarev, E. Sullivan, D. Guldin, S. Qiu, and D. Odjik. Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, page 7--13. New York, NY, USA, ACM, (2018)
C. Tsai, and P. Brusilovsky. Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, page 22--30. New York, NY, USA, ACM, (2019)
S. Amal, M. Adam, P. Brusilovsky, E. Minkov, and T. Kuflik. Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, page 21--22. New York, NY, USA, ACM, (2019)
J. Barria-Pineda, and P. Brusilovsky. Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, page 103--104. New York, NY, USA, ACM, (2019)
B. Rahdari, and P. Brusilovsky. Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, page 99--100. New York, NY, USA, ACM, (2019)
C. Bauer, and M. Schedl. Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization, page 350-353. New York, NY, USA, ACM, (July 2017)
S. Faridani, E. Bitton, K. Ryokai, and K. Goldberg. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, page 1175--1184. New York, NY, USA, ACM, (2010)
C. Ziegler, S. McNee, J. Konstan, and G. Lausen. Proceedings of the 14th International Conference on World Wide Web, page 22--32. New York, NY, USA, ACM, (2005)
Y. Jin, N. Tintarev, and K. Verbert. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, page 291--299. New York, NY, USA, ACM, (2018)
J. Schaffer, J. O'Donovan, and T. Höllerer. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, page 177--185. New York, NY, USA, ACM, (2018)
M. Millecamp, N. Htun, Y. Jin, and K. Verbert. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, page 101--109. New York, NY, USA, ACM, (2018)
S. Ghosh, M. Mundhe, K. Hernandez, and S. Sen. Proceedings of the Third Annual Conference on Autonomous Agents, page 434--435. New York, NY, USA, ACM, (1999)
Q. Zhou, L. Li, N. Cao, N. Buchler, and H. Tong. Proceedings of the 12th ACM Conference on Recommender Systems, page 492--493. New York, NY, USA, ACM, (2018)
B. Loepp, T. Donkers, T. Kleemann, and J. Ziegler. International Journal of Human-Computer Studies, (2019)Advances in Computer-Human Interaction for Recommender Systems.