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 Duine Framework is an extensible software toolkit for multimedia recommendation, written in Java. Developers can use the toolkit to build their own recommendation system.
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).
A. Schein, A. Popescul, L. Ungar, and D. Pennock. Proceedings of the 25th annual international ACM SIGIR conference
on Research and development in information retrieval, (253--260)
W. Wang, E. Kumamoto, and C. Yin. Proceedings of the 17th International Conference on Educational Data Mining, page 368--375. Atlanta, Georgia, USA, International Educational Data Mining Society, (July 2024)
D. Baig, D. Nurbakova, B. Mbaye, and S. Calabretto. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 561–566. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)
S. Zhao, and S. Sahebi. Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 183–188. New York, NY, USA, Association for Computing Machinery, (Jun 28, 2024)
J. Echterhoff, A. Melkote, S. Kancherla, and J. McAuley. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 1–11. New York, NY, USA, Association for Computing Machinery, (Jun 22, 2024)
P. Dokoupil, L. Boratto, and L. Peska. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 212–222. New York, NY, USA, Association for Computing Machinery, (Jun 22, 2024)
A. Okoso, K. Otaki, S. Koide, and Y. Baba. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 261–266. New York, NY, USA, Association for Computing Machinery, (Jun 22, 2024)
D. Rosnes, A. Starke, and C. Trattner. Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, page 201–211. New York, NY, USA, Association for Computing Machinery, (Jun 22, 2024)
J. Zhu, M. Ma, J. Guo, and Z. Wang. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 21 (2):
375-395(March 2007)International Workshop on Web Personalization, Recommender Systems and
Intelligent User Interfaces, Reading, ENGLAND, OCT, 2005.
B. Ludwig, and S. Mandl. ECAI 2006, PROCEEDINGS, volume 141 of Frontiers in Artificial Intelligence and Applications, page 821-822. NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, I O S PRESS, (2006)17th European Conference on Artificial Intelligence, Riva del Garda,
ITALY, AUG 28, 2006.
T. Isobe, M. Fujiwara, H. Kaneta, T. Morita, and N. Uratani. ICCE: 2005 INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, DIGEST OF
TECHNICAL PAPERS, page 157-158. 345 E 47TH ST, NEW YORK, NY 10017 USA, IEEE, (2005)23rd Annual International Conference on Consumer Electronics (ICCE),
Las Vegas, NV, JAN 08-12, 2005.
J. Zimmerman, K. Kurapati, A. Buczak, D. Schaffer, S. Gutta, and J. Martino. PERSONALIZED DIGITAL TELEVISION: TARGETING PROGRAMS TO INDIVIDUAL
VIEWERS, page 27-51. PO BOX 17, 3300 AA DORDRECHT, NETHERLANDS, SPRINGER, (2004)3rd Conference on User Modeling, Johnstown, PA, JUN 23, 2003.