BibSLEIGH — David

Travelled to:

1 × Australia
1 × Brazil
1 × Finland
1 × Germany
1 × Ireland
1 × Italy
1 × Switzerland
2 × Canada
2 × China
4 × United Kingdom
8 × USA

Collaborated with:

O.Kurland E.Yom-Tov H.Roitman A.Soffer A.Shtok N.Zwerdling E.Uziel I.Guy A.Darlow H.Raviv Y.Mass E.Amitay I.Ronen R.Hoory S.Erera S.Ofek-Koifman S.Yogev R.Lempel E.Farchi S.Hummel F.Raiber N.Har'El M.Herscovici Y.S.Maarek E.Krikon J.Mamou A.Mejer Y.Pinter I.Szpektor I.Eiron G.Markovits D.Pelleg S.Fine Y.Petruschka G.Mishne A.Roytman A.Z.Broder J.Y.Zien M.Mandelbrod O.Rom N.Golbandi D.Cohen R.Fagin S.Chernov E.Shahar S.Ur

Talks about:

queri (10) retriev (9) use (8) social (7) predict (6) perform (6) base (6) search (5) system (4) inform (4)

Person: David Carmel

DBLP: Carmel:David

Contributed to:

2014

2013

2012

2011

2010

2009

2008

2006

2005

2004

2003

2002

2001

2008

Wrote 34 papers:

CIKM-2014-CarmelMPS #analysis #community #using: Improving Term Weighting for Community Question Answering Search Using Syntactic Analysis (DC, AM, YP, IS), pp. 351–360.
SIGIR-2014-RavivKC #performance #predict #query #retrieval: Query performance prediction for entity retrieval (HR, OK, DC), pp. 1099–1102.
CIKM-2013-CarmelSK #retrieval: Position-based contextualization for passage retrieval (DC, AS, OK), pp. 1241–1244.
SIGIR-2013-RavivKC #clustering: The cluster hypothesis for entity oriented search (HR, OK, DC), pp. 841–844.
SIGIR-2013-RoitmanCME #modelling #recommendation: Modeling the uniqueness of the user preferences for recommendation systems (HR, DC, YM, IE), pp. 777–780.
CIKM-2012-KrikonCK #performance #predict #retrieval: Predicting the performance of passage retrieval for question answering (EK, DC, OK), pp. 2451–2454.
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.
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.
CIKM-2011-CarmelUGMR #generative #word: Folksonomy-based term extraction for word cloud generation (DC, EU, IG, YM, HR), pp. 2437–2440.
CIKM-2010-CarmelRY #on the: On the relationship between novelty and popularity of user-generated content (DC, HR, EYT), pp. 1509–1512.
SIGIR-2010-CarmelY #information retrieval #query: Estimating the query difficulty for information retrieval (DC, EYT), p. 911.
SIGIR-2010-GuyZRCU #people #recommendation #social #social media: Social media recommendation based on people and tags (IG, NZ, IR, DC, EU), pp. 194–201.
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-CarmelRY #framework: Who tags the tags?: a framework for bookmark weighting (DC, HR, EYT), pp. 1577–1580.
CIKM-2009-CarmelZGOHRUYC #network #personalisation #social: Personalized social search based on the user’s social network (DC, NZ, IG, SOK, NH, IR, EU, SY, SC), pp. 1227–1236.
HT-2009-AmitayCHOSYG #approach #social #using: Social search and discovery using a unified approach (EA, DC, NH, SOK, AS, SY, NG), pp. 199–208.
RecSys-2009-GuyZCRUYO #personalisation #recommendation #social: Personalized recommendation of social software items based on social relations (IG, NZ, DC, IR, EU, SY, SOK), pp. 53–60.
SIGIR-2009-CarmelRZ #clustering #using #wiki: Enhancing cluster labeling using wikipedia (DC, HR, NZ), pp. 139–146.
SIGIR-2009-RonenSUUYZCGHO #enterprise #network #social: Social networks and discovery in the enterprise (SaND) (IR, ES, SU, EU, SY, NZ, DC, IG, NH, SOK), p. 836.
ECIR-2008-EreraC #detection #email: Conversation Detection in Email Systems (SE, DC), pp. 498–505.
VLDB-2008-RoitmanCY #maintenance #web: Maintaining dynamic channel profiles on the web (HR, DC, EYT), pp. 151–162.
SIGIR-2006-CarmelYDP #query #question #what: What makes a query difficult? (DC, EYT, AD, DP), pp. 390–397.
SIGIR-2006-MamouCH #documentation #retrieval: Spoken document retrieval from call-center conversations (JM, DC, RH), pp. 51–58.
CIKM-2005-MishneCHRS #analysis #automation: Automatic analysis of call-center conversations (GM, DC, RH, AR, AS), pp. 453–459.
SIGIR-2005-Yom-TovFCD #detection #distributed #information retrieval #learning #query: Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval (EYT, SF, DC, AD), pp. 512–519.
SIGIR-2004-AmitayCLS #evaluation #scalability #set #using: Scaling IR-system evaluation using term relevance sets (EA, DC, RL, AS), pp. 10–17.
CIKM-2003-BroderCHSZ #evaluation #performance #process #query #retrieval #using: Efficient query evaluation using a two-level retrieval process (AZB, DC, MH, AS, JYZ), pp. 426–434.
HT-2003-AmitayCDLS #detection: The connectivity sonar: detecting site functionality by structural patterns (EA, DC, AD, RL, AS), pp. 38–47.
SIGIR-2003-CarmelMMMS #documentation #xml: Searching XML documents via XML fragments (DC, YSM, MM, YM, AS), pp. 151–158.
SIGIR-2002-CarmelFPS #automation #information management #query #refinement #using: Automatic query refinement using lexical affinities with maximal information gain (DC, EF, YP, AS), pp. 283–290.
SIGIR-2001-SofferCCFFHM #information retrieval: Static Index Pruning for Information Retrieval Systems (AS, DC, DC, RF, EF, MH, YSM), pp. 43–50.
JCDL-2008-CarmelYR #analysis #library #using: Enhancing digital libraries using missing content analysis (DC, EYT, HR), pp. 1–10.