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» Learning to learn with the informative vector machine
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CIKM
2009
Springer
14 years 3 months ago
Web search result summarization: title selection algorithms and user satisfaction
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...
CIKM
2007
Springer
14 years 3 months ago
Autonomously semantifying wikipedia
Berners-Lee’s compelling vision of a Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method — creating enough structured dat...
Fei Wu, Daniel S. Weld
ISMIR
2004
Springer
90views Music» more  ISMIR 2004»
14 years 2 months ago
Automatic extraction of music descriptors from acoustic signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
François Pachet, Aymeric Zils
IUI
2003
ACM
14 years 2 months ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
SIGIR
2003
ACM
14 years 2 months ago
SETS: search enhanced by topic segmentation
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...
Mayank Bawa, Gurmeet Singh Manku, Prabhakar Raghav...