The Duine Framework is an extensible software toolkit for multimedia recommendation, written in Java. Developers can use the toolkit to build their own recommendation system.
Speech by Rupert Murdoch:
n the 21st century, people are hungrier for information than ever before. And they have more sources of information than ever before.
Amid these many diverse and competing voices, readers want what they've always wanted: a source they can trust. That has always been the role of great newspapers in the past. And that role will make newspapers great in the future.
If you discuss the future with newspapermen, you will find that too many think that our business is only physical newspapers. I like the look and feel of newsprint as much as anyone. But our real business isn't printing on dead trees. It's giving our readers great journalism and great judgment.
The expert guide to the most important advances in biology
Explore the site to see which papers our Faculty of over 2000 world leading scientists have selected.
S. Zhang, and K. Balog. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &$\mathsemicolon$ Data Mining, page 1512-1520. ACM, (August 2020)
A. Ajalloeian, M. Vlachos, J. Schneider, and A. Steinmann. Proceedings of the 31st ACM International Conference on Information &$\mathsemicolon$ Knowledge Management, page 2853-2862. ACM, (October 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, and Z. Zhang. Proceedings of the 31st ACM International Conference on Information &$\mathsemicolon$ Knowledge Management, page 1655–1665. ACM, (October 2022)
N. Hazrati, and F. Ricci. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 95-98. ACM, (July 2022)
S. Eden, A. Livne, O. Shalom, B. Shapira, and D. Jannach. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 99-109. ACM, (July 2022)
M. Chatti, M. Guesmi, L. Vorgerd, T. Ngo, S. Joarder, Q. Ain, and A. Muslim. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 254-264. ACM, (July 2022)Several detail-levels of explanations and their match to individual differences.
D. Zaken, A. Segal, D. Cavalier, G. Shani, and K. Gal. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 69-78. ACM, (July 2022)
L. Steinert, F. Kölling, F. Putze, D. Küster, and T. Schultz. Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 89-98. ACM, (July 2022)Example of a patient focused recsys and evaluation.
M. Millecamp, N. Htun, Y. Jin, and K. Verbert. Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, page 101-109. ACM, (July 2018)