BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
EDIT!
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Brazil
1 × Canada
1 × China
1 × Germany
1 × Italy
1 × Portugal
1 × Switzerland
1 × The Netherlands
3 × United Kingdom
5 × USA
Collaborated with:
W.B.Croft J.J.Lin L.Wang F.Díaz T.Elsayed N.Asadi O.Kurland Y.Bernstein A.Moffat J.Zobel M.Bendersky S.Amer-Yahia T.Strohman S.T.Dumais C.Meek V.Lavrenko A.Z.Broder E.Gabrilovich V.Josifovski H.Lang B.Wang J.Li R.Jones F.Peng R.Zhang J.Novak H.Cui S.Reddy G.Mavromatis J.Wang M.Ciaramita M.Fontoura V.Murdock V.Plachouras
Talks about:
model (9) rank (7) retriev (6) inform (5) use (5) random (4) markov (4) improv (4) relev (4) field (4)

Person: Donald Metzler

DBLP DBLP: Metzler:Donald

Contributed to:

SIGIR 20122012
CIKM 20112011
SIGIR 20112011
CIKM 20102010
SIGIR 20102010
SIGIR 20092009
CIKM 20082008
ECIR 20082008
CIKM 20072007
ECIR 20072007
SIGIR 20072007
CIKM 20062006
SIGIR 20062006
CIKM 20052005
SIGIR 20052005
SIGIR 20042004

Wrote 26 papers:

SIGIR-2012-MetzlerK #information retrieval
Experimental methods for information retrieval (DM, OK), pp. 1185–1186.
CIKM-2011-ElsayedLM #approximate #performance #retrieval
When close enough is good enough: approximate positional indexes for efficient ranked retrieval (TE, JJL, DM), pp. 1993–1996.
SIGIR-2011-AsadiMEL #learning #pseudo #ranking #web
Pseudo test collections for learning web search ranking functions (NA, DM, TE, JJL), pp. 1073–1082.
SIGIR-2011-AsadiML
Cross-corpus relevance projection (NA, DM, JJL), pp. 1163–1164.
SIGIR-2011-BenderskyMC #concept #query
Parameterized concept weighting in verbose queries (MB, DM, WBC), pp. 605–614.
SIGIR-2011-WangLM #performance #ranking #retrieval
A cascade ranking model for efficient ranked retrieval (LW, JJL, DM), pp. 105–114.
CIKM-2010-BroderGJMMW #web
Exploiting site-level information to improve web search (AZB, EG, VJ, GM, DM, JW), pp. 1393–1396.
CIKM-2010-LangMWL #concept #markov #random #using
Improved latent concept expansion using hierarchical markov random fields (HL, DM, BW, JTL), pp. 249–258.
CIKM-2010-WangML #constraints #ranking
Ranking under temporal constraints (LW, DM, JJL), pp. 79–88.
SIGIR-2010-DiazMA #online #ranking
Relevance and ranking in online dating systems (FD, DM, SAY), pp. 66–73.
SIGIR-2010-WangLM #learning #rank
Learning to efficiently rank (LW, JJL, DM), pp. 138–145.
SIGIR-2009-MetzlerJPZ #query
Improving search relevance for implicitly temporal queries (DM, RJ, FP, RZ), pp. 700–701.
SIGIR-2009-MetzlerNCR #documentation #using
Building enriched document representations using aggregated anchor text (DM, JN, HC, SR), pp. 219–226.
CIKM-2008-BroderCFGJMMP #learning
To swing or not to swing: learning when (not) to advertise (AZB, MC, MF, EG, VJ, DM, VM, VP), pp. 1003–1012.
CIKM-2008-Metzler #documentation
Generalized inverse document frequency (DM), pp. 399–408.
ECIR-2008-MetzlerSC #modelling #retrieval #statistics
A Statistical View of Binned Retrieval Models (DM, TS, WBC), pp. 175–186.
CIKM-2007-Metzler #automation #feature model #information retrieval #markov #random
Automatic feature selection in the markov random field model for information retrieval (DM), pp. 253–262.
ECIR-2007-MetzlerDM #metric #similarity
Similarity Measures for Short Segments of Text (DM, STD, CM), pp. 16–27.
SIGIR-2007-Metzler #modelling #parametricity #using
Using gradient descent to optimize language modeling smoothing parameters (DM), pp. 687–688.
SIGIR-2007-MetzlerC #concept #markov #random #using
Latent concept expansion using markov random fields (DM, WBC), pp. 311–318.
CIKM-2006-Metzler #estimation #modelling #retrieval
Estimation, sensitivity, and generalization in parameterized retrieval models (DM), pp. 812–813.
SIGIR-2006-DiazM #corpus #estimation #modelling #scalability #using
Improving the estimation of relevance models using large external corpora (FD, DM), pp. 154–161.
CIKM-2005-MetzlerBCMZ #data flow #metric #similarity
Similarity measures for tracking information flow (DM, YB, WBC, AM, JZ), pp. 517–524.
SIGIR-2005-MetzlerBCMZ #data flow #identification
The recap system for identifying information flow (DM, YB, WBC, AM, JZ), p. 678.
SIGIR-2005-MetzlerC #dependence #markov #random
A Markov random field model for term dependencies (DM, WBC), pp. 472–479.
SIGIR-2004-MetzlerLC #modelling #multi
Formal multiple-bernoulli models for language modeling (DM, VL, WBC), pp. 540–541.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.