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» Predicting user interests from contextual information
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CSCW
2000
ACM
15 years 2 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CHI
2004
ACM
15 years 10 months ago
Forecasting presence and availability
We present methods employed in COORDINATE, a prototype service that supports collaboration and communication by learning predictive models that provide forecasts of users' pr...
Joe Tullio, James Begole, Eric Horvitz, Elizabeth ...
JASIS
1998
99views more  JASIS 1998»
14 years 9 months ago
Electronic News Delivery Project
An appreciation of the roles of genre and task is important in understanding how people browse the Web. Genre is characterized by content and form and is intimately linked to the ...
Carolyn R. Watters, Michael A. Shepherd, Forbes J....
WWW
2009
ACM
15 years 10 months ago
Is there anything worth finding on the semantic web?
There has recently been an upsurge of interest in the possibilities of combining structured data and ad-hoc information retrieval from traditional hypertext. In this experiment, w...
Harry Halpin
AAAI
2007
15 years 11 days ago
Equilibria in Heterogeneous Nonmonotonic Multi-Context Systems
We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. Nonmonotonic bridge rules are used to specify th...
Gerhard Brewka, Thomas Eiter