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Best and Fairest: An Empirical Analysis of Retrieval System Bias [chapter]

Colin Wilkie, Leif Azzopardi
2014 Lecture Notes in Computer Science  
Here, we consider bias as the extent to which a retrieval model unduly favours certain documents over others because of characteristics within and about the document.  ...  In this paper, we explore the bias of term weighting schemes used by retrieval models.  ...  Summary and Conclusions In this paper, we have measured the retrieval bias of a spectrum of retrieval model/weightings to determine which model is the fairest.  ... 
doi:10.1007/978-3-319-06028-6_2 fatcat:w3uigrxom5c4vnsaepdgnpbli4

Which of the Three KABC-II Global Scores is the Least Biased?

Caroline Scheiber, Alan S. Kaufman
2015 Journal of Pediatric Neuropsychology  
The implication is that the FCI is more biased than the MPI and NVI for assessing children from ethnic minorities. However, there has been no empirical evidence to support that hypothesis.  ...  Contrary to the test authors' predictions, the FCI emerged as the fairest predictor of achievement across all age and grade groups.  ...  Despite the firm belief by many neuropsychologists and educators that less culturally loaded scales, such as MPI and NVI, are the fairest (least biased) predictors of achievement for ethnic minority group  ... 
doi:10.1007/s40817-015-0004-6 fatcat:luc3ycqndfcy3ay6ps2sm6otkm

Using cross-evaluation to evaluate interactive QA systems

Ying Sun, Paul B. Kantor, Emile L. Morse
2011 Journal of the American Society for Information Science and Technology  
This method takes into account the effects of tasks and context, and of the users of the systems. Statistical techniques are used to remove these effects, isolating the effect of the system itself.  ...  In this article, we report on an experiment to assess the possibility of rigorous evaluation of interactive questionanswering (QA) systems using the cross-evaluation method.  ...  Acknowledgments We thank the Advanced Research and Development Activity's (ARDA) Advanced Question Answering for Intelligence (AQUAINT) Program for its support of this research.  ... 
doi:10.1002/asi.21585 fatcat:ewmbi2ucd5bzhlfuuk7e7jczxq

From Near-Surface to Root-Zone Soil Moisture Using Different Assimilation Techniques

Joaquín Muñoz Sabater, Lionel Jarlan, Jean-Christophe Calvet, François Bouyssel, Patricia De Rosnay
2007 Journal of Hydrometeorology  
The lower computational cost of the 1DVAR is an advantage for operational root-zone soil moisture analysis based on remotely sensed surface soil moisture observations at a global scale.  ...  Root-zone soil moisture constitutes an important variable for hydrological and weather forecast models.  ...  This study was cofunded by the European Commission within the GMES initiative in FP6, in the framework of the geoland integrated GMES project on land cover and vegetation. The authors thank Dr.  ... 
doi:10.1175/jhm571.1 fatcat:vft6d3oitfeophuk7a5dc56dqe

The impact of corpus quality and type on topic based text segmentation evaluation

Alexandre Labadie, Violaine Prince
2008 International Multiconference on Computer Science and Information Technology  
The considered task is topic-based text segmentation, and two highly different unsupervised algorithms are compared: C99, a word-based system, augmented with LSA, and T ranseg, a sentence-based system.  ...  In this paper, we try to fathom the real impact of corpus quality on methods performances and their evaluations.  ...  A pending question is always the robustness issue: Would a lexical based system be less sensitive to an 'raw' corpus than a sentence based system?  ... 
doi:10.1109/imcsit.2008.4747258 dblp:conf/imcsit/LabadieP08 fatcat:6b7k6ypp4vfltjnhsjclmee32u

Bias in computer systems

Batya Friedman, Helen Nissenbaum
1996 ACM Transactions on Information Systems  
From an analysis of actual cases, three categories of bias in computer systems have been developed: preexisting, technical, and emergent.  ...  Although others have pointed to bias in particular computer systems and have noted the general problem, we know of no comparable work that examines this phenomenon comprehensively and which offers a framework  ...  ACKNOWLEDGMENTS We thank our research assistant Mark Muir for help with aspects of this analysis. We thank F. J.  ... 
doi:10.1145/230538.230561 fatcat:flchrftr6jhknd43i3pbzcq2rm

Social Collaborative Retrieval

Ko-Jen Hsiao, Alex Kulesza, Alfred O. Hero
2014 IEEE Journal on Selected Topics in Signal Processing  
Meanwhile, there are now many potential applications that involve aspects of both recommendation and information retrieval, and the task of collaborative retrieval---a combination of these two traditional  ...  Socially-based recommendation systems have recently attracted significant interest, and a number of studies have shown that social information can dramatically improve a system's predictions of user interests  ...  Section 3 presents an empirical analysis of the Last.fm social networking dataset, and we present experimental results evaluating the performance of SCR in Section 4.  ... 
doi:10.1109/jstsp.2014.2317286 fatcat:w5wbto5ynrb4lgwlignqiwyo6y

Testing Passive Microwave-based Hail Retrievals using GPM DPR Ku-band Radar

Sarah D. Bang, Daniel J. Cecil
2020 Journal of Applied Meteorology and Climatology  
A retrieval based on a 19- GHz PCT threshold of 261K also produces tightly clustered profiles of radar reflectivity, with little regional bias.  ...  the least appearance of regional biases.  ...  The BC19 algorithm is the most complex but also the best performing in our analysis.  ... 
doi:10.1175/jamc-d-20-0129.1 fatcat:eo5xpktx4vhb5oiqkfumuar6m4

Social collaborative retrieval

Ko-Jen Hsiao, Alex Kulesza, Alfred Hero
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
Meanwhile, there are now many potential applications that involve aspects of both recommendation and information retrieval, and the task of collaborative retrieval -a combination of these two traditional  ...  Socially-based recommendation systems have recently attracted significant interest, and a number of studies have shown that social information can dramatically improve a system's predictions of user interests  ...  Section 3 presents an empirical analysis of the Last.fm social networking dataset, and we present experimental results evaluating the performance of SCR in Section 4.  ... 
doi:10.1145/2556195.2556255 dblp:conf/wsdm/HsiaoKH14 fatcat:agrepc4yjjg5pdasxsgjgfa2ou

Randomize it

Dane Christian Joseph
2019 Journal of effective teaching in higher education  
Multiple-choice testing is a staple within the U.S. higher education system.  ...  This study empirically tested the strategy to randomize the answer-key.  ...  Conflicts of Interest The author declares that there is no conflict of interest regarding the publication of this article.  ... 
doi:10.36021/jethe.v2i1.26 fatcat:kkj73xrcrfhcvhyo7kmsi6xnzq

Fairness in Information Access Systems [article]

Michael D. Ekstrand and Anubrata Das and Robin Burke and Fernando Diaz
2022 arXiv   pre-print
Recommendation, information retrieval, and other information access systems pose unique challenges for investigating and applying the fairness and non-discrimination concepts that have been developed for  ...  studying other machine learning systems.  ...  As detailed in section 3.1, we share an expansive view of bias with Mitchell et al. (2020, §2.2.1) , noting that these biases can be the kinds of statistical biases familiar to science (systematic discrepancies  ... 
arXiv:2105.05779v3 fatcat:fd35qmskibfbfaeblvmiqofgfe

Evolution of Electronic Procurement: Contemporary Review of Adoption and Implementation Strategies

Albert P. C. Chan, Emmanuel Kingsford Owusu
2022 Buildings  
It explores the adoption and implementation strategies of extant and projected EP developments and develops a conceptual framework to explicate the developmental transitions of EP.  ...  It elucidates the significant constructs that define and underpin the theoretical implications of EP and SP adoption and implementation.  ...  Conflicts of Interest: The authors would like to declare that they have no conflict of interest.  ... 
doi:10.3390/buildings12020198 fatcat:ob4vi76qf5ftlig54lpnmuey5m

Can a relational mindset boost analogical retrieval?

Micah B. Goldwater, Anja Jamrozik
2019 Cognitive Research  
This work further demonstrates the central importance of high-quality relational encoding for subsequent relation-based analogical retrieval, and that inducing a relational mindset can improve those encodings  ...  On the other hand, inducing a relational mindset at the time of retrieval did not increase analogical retrieval.  ...  Authors' contributions MBG was the primary supervisor of the thesis, and contributed to all aspects of design and analysis. AJ further offered advice with design and analysis.  ... 
doi:10.1186/s41235-019-0198-8 pmid:31858283 pmcid:PMC6923295 fatcat:zbhtsuvh5vgjdp36sya5lzvtby

Evidence-based interventional pain management: principles, problems, potential and applications

Laxmaiah Manchikanti, Mark V Boswell, James Giordano
2007 Pain Physician  
of factors affecting the strength and value(s) of evidence, 4) analysis of specific reviews of interventional techniques, and finally, 5) the utility and purpose of guidelines in interventional pain management  ...  This review provides 1) an understanding of evidence-based medicine, 2) an overview of issues related to evaluating the quality of individual studies, analyses, narrative, and systematic reviews, 3) discussion  ...  Healthcare decision makers consider justice as the fairest way of distributing services among a population of individuals, and temper the utilitarian frameworks of decision analysis and cost effectiveness  ... 
pmid:17387356 fatcat:kqarvlguanbtjdewheanya6rgq

Snow processes in mountain forests: interception modeling for coarse-scale applications

Nora Helbig, David Moeser, Michaela Teich, Laure Vincent, Yves Lejeune, Jean-Emmanuel Sicart, Jean-Matthieu Monnet
2020 Hydrology and Earth System Sciences  
We present two novel empirical models for the spatial mean and one for the standard deviation of snow interception derived from an extensive snow interception data set collected in an evergreen coniferous  ...  % for both models and NRMSE of the standard deviation of ≤13 %.  ...  We thank Emmanuel Thibert and Éric Mermin, who performed the GPS and tree measurements of the site setup at Col De Porte, and James A. Lutz, Scott B. Jones, Jobie Carlisle, and David. G.  ... 
doi:10.5194/hess-24-2545-2020 fatcat:ktltulcg3jhipdvlikekm747i4
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