372 search results - page 65 / 75 » Learning to Rank Using an Ensemble of Lambda-Gradient Models |
UM
2010
Springer
13 years 11 months ago
2010
Springer
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
MM
2009
ACM
14 years 12 days ago
2009
ACM
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
AI
2004
Springer
13 years 7 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
SIGIR
2012
ACM
11 years 10 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...