627 search results - page 50 / 126 » Learning from Logged Implicit Exploration Data |
113
Voted
ICDM
2010
IEEE
14 years 10 months ago
2010
IEEE
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
139
Voted
SIGIR
2011
ACM
14 years 3 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
107
Voted
CORR
2008
Springer
15 years 22 days ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
138
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CHI
2011
ACM
14 years 4 months ago
2011
ACM
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
126
Voted
WISE
2002
Springer
15 years 5 months ago
2002
Springer
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...