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SIGIR
2011
ACM
12 years 11 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
ATAL
2004
Springer
14 years 2 months ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
CCGRID
2010
IEEE
13 years 10 months ago
Decentralized Resource Availability Prediction for a Desktop Grid
In a desktop grid model, the job (computational task) is submitted for execution in the resource only when the resource is idle. There is no guarantee that the job which has starte...
Karthick Ramachandran, Hanan Lutfiyya, Mark Perry
ICAT
2007
IEEE
14 years 3 months ago
Exploiting Virtual Objects' Attributes and Avatar's Behavior in DVEs Partitioning
Partitioning constitutes one of the most critical challenges a distributed virtual environment needs to handle and is related to the efficient assignment of the existing entities ...
Christos Bouras, Eri Giannaka, Thrasyvoulos Tsiats...
ICML
2008
IEEE
14 years 9 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims