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» Modeling User Affect from Causes and Effects
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CIKM
2010
Springer
13 years 6 months ago
Term necessity prediction
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
Le Zhao, Jamie Callan
WWW
2009
ACM
14 years 8 months ago
Automated construction of web accessibility models from transaction click-streams
Screen readers, the dominant assistive technology used by visually impaired people to access the Web, function by speaking out the content of the screen serially. Using screen rea...
Jalal Mahmud, Yevgen Borodin, I. V. Ramakrishnan, ...
AAAI
2007
13 years 10 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
RIAO
1997
13 years 9 months ago
The Do-I-Care Agent: Effective Social Discovery and Filtering on the Web
The Web is a vast, dynamic source of information and resources. Because of its size and diversity, it is increasingly likely that if the information one seeks is not already there...
Mark S. Ackerman, Brian Starr, Michael J. Pazzani
WSC
2001
13 years 9 months ago
On the impact of concurrent downloads
Concurrent downloads accelerate information access speed for individual web users. The speed-up comes from multiple connections launched for one subject download, which leads to u...
Yong Liu, Weibo Gong, Prashant J. Shenoy