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» Learning to Predict User Operations for Adaptive Scheduling
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WWW
2005
ACM
14 years 9 months ago
Adaptive filtering of advertisements on web pages
We present a browser extension to dynamically learn to filter unwanted images (such as advertisements or flashy graphics) based on minimal user feedback. To do so, we apply the we...
Babak Esfandiari, Richard Nock
WWW
2008
ACM
14 years 9 months ago
Determining user's interest in real time
Most of the search engine optimization techniques attempt to predict users interest by learning from the past information collected from different sources. But, a user's curr...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
WWW
2010
ACM
13 years 8 months ago
QuickSuggest: character prediction on web appliances
As traditional media and information devices integrate with the web, they must suddenly support a vastly larger database of relevant items. Many devices use remote controls with o...
Ullas Gargi, Rich Gossweiler
PERCOM
2009
ACM
14 years 9 months ago
Proactive and Adaptive Fuzzy Profile Control for Mobile Phones
In this paper we describe a context-sensitive way to change an active mobile phone profile. We present a method to create a proactive and adaptive phone profile control system that...
Miika Valtonen, Antti-Matti Vainio, Jukka Vanhala
SOSP
1997
ACM
13 years 9 months ago
The Design, Implementation and Evaluation of SMART: A Scheduler for Multimedia Applications
Real-time applications such as multimedia audio and video are increasingly populating the workstation desktop. To support the execution of these applications in conjunction with t...
Jason Nieh, Monica S. Lam