812 search results - page 75 / 163 » Preference-based learning to rank |
87
Voted
CORR
2006
Springer
15 years 17 days ago
2006
Springer
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
110
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ICALT
2007
IEEE
15 years 6 months ago
2007
IEEE
In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
95
Voted
AAAI
2008
15 years 2 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
115
Voted
AIPS
2010
15 years 23 days ago
2010
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
123
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ECIR
2009
Springer
14 years 10 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...