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» Learning User Preferences in Distributed Calendar Scheduling
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ICWS
2009
IEEE
13 years 5 months ago
A Dynamic Approach toward QoS-Aware Service Workflow Composition
Web service-based workflow management systems have garnered considerable attention for automating and scheduling dependent operations. Such systems often support user preferences,...
David Chiu, Sagar Deshpande, Gagan Agrawal, Rongxi...
AAAI
2012
11 years 9 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
SIGIR
2003
ACM
14 years 22 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
NIPS
2001
13 years 8 months ago
Learning a Gaussian Process Prior for Automatically Generating Music Playlists
This paper presents AutoDJ: a system for automatically generating music playlists based on one or more seed songs selected by a user. AutoDJ uses Gaussian Process Regression to le...
John C. Platt, Christopher J. C. Burges, S. Swenso...
CCGRID
2006
IEEE
14 years 1 months ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour