812 search results - page 14 / 163 » Preference-based learning to rank |
NAACL
2010
13 years 7 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
SIGIR
2008
ACM
13 years 9 months ago
2008
ACM
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
IJCAI
2001
13 years 11 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...