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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
2 other people
on 2007-10-17 14:35:49
|
BibTeX
previous | 1 | next
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tags
1999
2001
academic-reference,
allpurpose
bayes
categorization,
classification
clickdata
clickthrough
clickthrough,
cluster
clustering
collaborative-filtering,
combination
constraints
context
contraint
data
dblp
dlpaws,
en,
engines
estimator
evaluation
evaluation,
eventually_useful
eye-tracking
feedback
feedback,
guide
icml
implicit,
implicit-feedback
implicit-feedback,
imported
information,
information-retrieval
information-retrieval,
information_retrieval
ir
joachims
kernel
kernel_methods
kernels
laplace
learning
learning,
learning2rank,
light
linear
link
list
log-mining
machine,
machine-learning
machine_learning
metric
ml,
optimierung
optimization
optimizing
performance,
probabilistic
programming
query,
query-chain,
query-chains
QueryLogAnalysis
QuerySession
ranking
rankings
reformulation
reinforcement,
relative-relevance
relevance
relevance,
retrieval
retrieval,
rocchio
rocchio,
scalability
search
search,
social-search,
spectral
structured
structured-output
studienarbeit
SVM
svm
svm_light
svmlight
text
text-classification
text_mining
textmining
tfidf
theory
tools
topicinference
toread
tour
transduction
transductive
transductive-inference
transductive-learning
TREC
tsvm
user-profile
web
webwatcher
wide
world
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