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Active Exploration for Learning Rankings from Clickthrough Data
F.
Radlinski
and T.
Joachims
ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD)
(2007)
to
TREC
clickthrough
learning
rankings
by
beate
and
1 other person
on 2007-10-17 14:35:49
|
BibTeX
Query Chains: Learning to Rank from Implicit Feedback
F.
Radlinski
and T.
Joachims
ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (KDD)
239--248 (2005)
to
clickthrough
learning
query-chains
ranking
svm
by
beate
and
2 other people
on 2007-10-17 14:26:23
|
BibTeX
Optimizing Search Engines using Clickthrough Data
T.
Joachims
\citeKDD2002
133--142 (2002)
to
clickthrough
data
engines
optimizing
search
by
hotho
and
2 other people
on 2005-12-20 20:21:42
|
BibTeX
previous | 1 | next
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1999
2001
allpurpose
bayes
clickdata
clickthrough
cluster
clustering
combination
constraints
context
contraint
data
dblp
engines
estimator
evaluation
eventually_useful
eye-tracking
guide
icml
implicit-feedback
imported
information-retrieval
information_retrieval
ir
kernel_methods
kernels
laplace
learning
linear
list
machine-learning
metric
optimierung
optimization
optimizing
probabilistic
query-chains
ranking
rankings
reformulation
relative-relevance
rocchio
scalability
search
spectral
structured-output
studienarbeit
SVM
svm
svmlight
text-classification
textmining
tfidf
theory
topicinference
tour
transduction
transductive
transductive-inference
transductive-learning
TREC
tsvm
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