BibSLEIGH — Oren

Travelled to:

1 × Australia
1 × Brazil
1 × Canada
1 × Ireland
1 × Russia
1 × Singapore
1 × Switzerland
2 × China
2 × The Netherlands
2 × United Kingdom
5 × USA

Collaborated with:

F.Raiber D.Carmel A.Shtok L.Lee ∅ M.Bendersky E.Krikon C.Domshlak I.G.Kalmanovich S.Hummel H.Raviv M.Tennenholtz O.Rom S.Khalaman D.Metzler A.K.Kozorovitzky L.Zighelnic E.Rabinovich H.Roitman K.Collins-Thompson M.Sondak L.Meister M.Winaver P.Izsak G.Markovits G.Katz B.Shapira L.Rokach

Talks about:

queri (18) cluster (17) retriev (15) base (13) predict (11) document (10) perform (10) search (9) model (9) rank (9)

Person: Oren Kurland

DBLP: Kurland:Oren

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

2004

Wrote 42 papers:

ECIR-2014-Kurland #clustering #information retrieval: The Cluster Hypothesis in Information Retrieval (OK), pp. 823–826.
SIGIR-2014-IzsakRKT: The search duel: a response to a strong ranker (PI, FR, OK, MT), pp. 919–922.
SIGIR-2014-KatzSKSR #performance #predict #query: Wikipedia-based query performance prediction (GK, AS, OK, BS, LR), pp. 1235–1238.
SIGIR-2014-RabinovichRK #feedback #retrieval: Utilizing relevance feedback in fusion-based retrieval (ER, OR, OK), pp. 313–322.
SIGIR-2014-RaiberK #predict: Query-performance prediction: setting the expectations straight (FR, OK), pp. 13–22.
SIGIR-2014-RaiberK14a #clustering #correlation #effectiveness #retrieval #testing: The correlation between cluster hypothesis tests and the effectiveness of cluster-based retrieval (FR, OK), pp. 1155–1158.
SIGIR-2014-RavivKC #performance #predict #query #retrieval: Query performance prediction for entity retrieval (HR, OK, DC), pp. 1099–1102.
SIGIR-2014-RoitmanHK #using: Using the cross-entropy method to re-rank search results (HR, SH, OK), pp. 839–842.
CIKM-2013-CarmelSK #retrieval: Position-based contextualization for passage retrieval (DC, AS, OK), pp. 1241–1244.
ECIR-2013-RaiberK #effectiveness #metric #predict #using: Using Document-Quality Measures to Predict Web-Search Effectiveness (FR, OK), pp. 134–145.
SIGIR-2013-Kurland #clustering #information retrieval: The cluster hypothesis in information retrieval (OK), p. 1126.
SIGIR-2013-RaiberCK #optimisation: Shame to be sham: addressing content-based grey hat search engine optimization (FR, KCT, OK), pp. 1013–1016.
SIGIR-2013-RaiberK #clustering #documentation #markov #random #ranking #using: Ranking document clusters using markov random fields (FR, OK), pp. 333–342.
SIGIR-2013-RavivKC #clustering: The cluster hypothesis for entity oriented search (HR, OK, DC), pp. 841–844.
SIGIR-2013-SondakSK #predict #query: Estimating query representativeness for query-performance prediction (MS, AS, OK), pp. 853–856.
CIKM-2012-KrikonCK #performance #predict #retrieval: Predicting the performance of passage retrieval for question answering (EK, DC, OK), pp. 2451–2454.
CIKM-2012-KurlandRS #clustering #predict #ranking: Query-performance prediction and cluster ranking: two sides of the same coin (OK, FR, AS), pp. 2459–2462.
CIKM-2012-KurlandSHRCR #framework #predict #probability: Back to the roots: a probabilistic framework for query-performance prediction (OK, AS, SH, FR, DC, OR), pp. 823–832.
CIKM-2012-MarkovitsSKC #performance #predict #query #retrieval: Predicting query performance for fusion-based retrieval (GM, AS, OK, DC), pp. 813–822.
CIKM-2012-RaiberK #clustering #retrieval #web: Exploring the cluster hypothesis, and cluster-based retrieval, over the web (FR, OK), pp. 2507–2510.
CIKM-2012-RaiberKT #estimation #using #web: Content-based relevance estimation on the web using inter-document similarities (FR, OK, MT), pp. 1769–1773.
SIGIR-2012-CarmelK #information retrieval #performance #predict #query: Query performance prediction for IR (DC, OK), pp. 1196–1197.
SIGIR-2012-HummelSRKC: Clarity re-visited (SH, AS, FR, OK, DC), pp. 1039–1040.
SIGIR-2012-KhalamanK: Utilizing inter-document similarities in federated search (SK, OK), pp. 1169–1170.
SIGIR-2012-MetzlerK #information retrieval: Experimental methods for information retrieval (DM, OK), pp. 1185–1186.
SIGIR-2011-KozorovitzkyK #clustering: Cluster-based fusion of retrieved lists (AKK, OK), pp. 893–902.
SIGIR-2011-KrikonK #ad hoc #feedback #retrieval: Utilizing minimal relevance feedback for ad hoc retrieval (EK, OK), pp. 1099–1100.
CIKM-2010-RaiberK #documentation #identification #on the: On identifying representative relevant documents (FR, OK), pp. 99–108.
SIGIR-2010-ShtokKC #modelling #predict #statistics #using: Using statistical decision theory and relevance models for query-performance prediction (AS, OK, DC), pp. 259–266.
CIKM-2009-KrikonKB #ranking: Utilizing inter-passage and inter-document similarities for re-ranking search results (EK, OK, MB), pp. 1597–1600.
SIGIR-2009-KalmanovichK #clustering #query: Cluster-based query expansion (IGK, OK), pp. 646–647.
SIGIR-2009-MeisterKK #clustering #documentation #retrieval: Integrating clusters created offline with query-specific clusters for document retrieval (LM, OK, IGK), pp. 706–707.
ECIR-2008-BenderskyK #documentation #modelling #retrieval: Utilizing Passage-Based Language Models for Document Retrieval (MB, OK), pp. 162–174.
SIGIR-2008-BenderskyK #graph #ranking #using: Re-ranking search results using document-passage graphs (MB, OK), pp. 853–854.
SIGIR-2008-Kurland #approach #clustering #documentation #ranking: The opposite of smoothing: a language model approach to ranking query-specific document clusters (OK), pp. 171–178.
SIGIR-2008-KurlandD #approach #clustering: A rank-aggregation approach to searching for optimal query-specific clusters (OK, CD), pp. 547–554.
SIGIR-2008-ZighelnicK #query #robust: Query-drift prevention for robust query expansion (LZ, OK), pp. 825–826.
SIGIR-2007-WinaverKD #framework #modelling #query #robust #towards: Towards robust query expansion: model selection in the language modeling framework (MW, OK, CD), pp. 729–730.
SIGIR-2006-KurlandL #clustering #exclamation #modelling: Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models (OK, LL), pp. 83–90.
SIGIR-2005-KurlandL #modelling #rank #ranking #using: PageRank without hyperlinks: structural re-ranking using links induced by language models (OK, LL), pp. 306–313.
SIGIR-2005-KurlandLD #clustering #modelling #pseudo #using: Better than the real thing?: iterative pseudo-query processing using cluster-based language models (OK, LL, CD), pp. 19–26.
SIGIR-2004-KurlandL #ad hoc #corpus #information retrieval #modelling: Corpus structure, language models, and ad hoc information retrieval (OK, LL), pp. 194–201.