14 papers:
- SIGIR-2015-AllegrettiMHPJP
- When Relevance Judgement is Happening?: An EEG-based Study (MA, YM, MH, FEP, JMJ, GP), pp. 719–722.
- SIGIR-2014-BaruahRS
- The effect of expanding relevance judgements with duplicates (GB, AR, MDS), pp. 1159–1162.
- SIGIR-2013-BashirAWGPA #documentation #rating
- A document rating system for preference judgements (MB, JA, JW, PBG, VP, JAA), pp. 909–912.
- CIKM-2012-KoolenKK #evaluation #social #topic
- Social book search: comparing topical relevance judgements and book suggestions for evaluation (MK, JK, GK), pp. 185–194.
- FoSSaCS-2011-Abel #similarity #type system
- Irrelevance in Type Theory with a Heterogeneous Equality Judgement (AA0), pp. 57–71.
- HIMI-v1-2011-AhmadWHK #people #web
- Different People Different Styles: Impact of Personality Style in Web Sites Credibility Judgement (RA, JW, KH, AK), pp. 521–527.
- SIGIR-2011-ScholerTS #consistency #quality
- Quantifying test collection quality based on the consistency of relevance judgements (FS, AT, MS), pp. 1063–1072.
- IJCAR-2010-BohmeN #named
- Sledgehammer: Judgement Day (SB, TN), pp. 107–121.
- CHI-2008-HartmannAS #bias #experience #quality #user interface
- Framing the user experience: information biases on website quality judgement (JH, ADA, AGS), pp. 855–864.
- SIGIR-2007-ButtcherCYS #evaluation #information retrieval #reliability
- Reliable information retrieval evaluation with incomplete and biased judgements (SB, CLAC, PCKY, IS), pp. 63–70.
- LICS-2007-AbelCD #evaluation #normalisation #similarity #type system
- Normalization by Evaluation for Martin-Lof Type Theory with Typed Equality Judgements (AA, TC, PD), pp. 3–12.
- ECIR-2005-Boldareva #image #representation
- Improving Image Representation with Relevance Judgements from the Searchers (LVB), pp. 555–557.
- KR-2002-Bittner
- Judgements about spatio-temporal relations (TB), pp. 521–532.
- SIGIR-2000-Iwayama #clustering #documentation #feedback #incremental
- Relevance reedback with a small number of relevance judgements: incremental relevance feedback vs. document clustering (MI), pp. 10–16.