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One size fits all? A different perspective on university rankings

Valentina Goglio
2016 Journal of Higher Education Policy and Management  
Referring to a theoretical tool borrowed from bioethics, this paper highlights that the ranking game involves a variety of recipients and that the current setting of the ranking panorama leaves room for  ...  In roughly a decade, university rankings gained the foreground in the policy arena for higher education and their influence is not going to decrease.  ...  Acknowledgements This article builds on previous work carried out for the JRC's Centre for Research on Education and Lifelong Learning (CRELL) in the framework of the project KNOW (Human Capital for Prosperity  ... 
doi:10.1080/1360080x.2016.1150553 fatcat:sve337mt3zahxlbg7qn2qpbky4

ERR is not C/W/L: Exploring the Relationship Between Expected Reciprocal Rank and Other Metrics

Leif Azzopardi, Joel Mackenzie, Alistair Moffat
2021 Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval  
We explore the relationship between expected reciprocal rank (ERR) and the metrics that are available under the C/W/L framework.  ...  That is, while ERR itself is not a C/W/L metric, there are other weighted-precision computations that t with the user model assumed by C/W/L, and yield system comparisons almost indistinguishable from  ...  This work was supported by the Australian Research Council (project DP200103136).  ... 
doi:10.1145/3471158.3472239 fatcat:fbrtwdt66vck5o2pbl2qntp7zi

A probabilistic solution to the selection and fusion problem in distributed information retrieval

Christoph Baumgarten
1999 Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99  
Part of the model is a selection criterion for e ectively limiting the ranking process to a subset of subcollections. 1 This problem has been identi ed by V oorhees et al.  ...  The fusion of retrieval results corresponding to document subcollections is performed according to the Probability Ranking Principle.  ...  Acknowledgements: Most of this work has been carried out at the graduate college Tools for the E ective Use of Parallel and Distributed Computing Systems" at Dresden University o f T echnology Germany  ... 
doi:10.1145/312624.312685 dblp:conf/sigir/Baumgarten99 fatcat:n4lp5mymz5ft7gqsji6bgbuhy4

Bio-Search Computing: Integration and global ranking of bioinformatics search results

Marco Masseroli, Giorgio Ghisalberti, Stefano Ceri
2011 Journal of Integrative Bioinformatics  
SummaryIn the Life Sciences, numerous questions can be addressed only by comprehensively searching different types of data that are inherently ordered, or are associated with ranked confidence values.  ...  An initial set of bioinformatics services has been described and registered in the search computing framework and a bioinformatics search computing (Bio-SeCo) application using these services has been  ...  Acknowledgements This research is part of the "Search Computing" (SeCo) project (2008)(2009)(2010)(2011)(2012)(2013), funded by the European Research Council (ERC), under the 2008 call for "IDEAS Advanced  ... 
doi:10.1515/jib-2011-166 fatcat:kk2nmkppunhgjjvzde46hplvpq

Improving accuracy and quantifying uncertainty in flood loss estimations through the use of multi-model ensembles

Rui Figueiredo, Kai Schröter, Alexander Weiss-Motz, Mario L. V. Martina, Heidi Kreibich
2017 NHESSD  
This approach, which has been applied successfully in other scientific fields, is based on the combination of different model outputs with the aim of improving the skill and usefulness of predictions.  ...  Using twenty flood loss models in two test cases, we demonstrate that multi-model ensembles can be a simple and pragmatic way to consistently obtain more accurate flood loss estimates and reliable probability  ...  State of non-informativeness The framework proposed in Section 3.1 and the subjective probabilities proposed in Figure 3 provide a basis for model selection and weighting in the development of multi-model  ... 
doi:10.5194/nhess-2017-349 fatcat:52zy7o3roracfhkpg3n3nmbe5e

Bio-Search Computing: integration and global ranking of bioinformatics search results

Marco Masseroli, Giorgio Ghisalberti, Stefano Ceri
2011 Journal of Integrative Bioinformatics  
In the Life Sciences, numerous questions can be addressed only by comprehensively searching different types of data that are inherently ordered, or are associated with ranked confidence values.  ...  An initial set of bioinformatics services has been described and registered in the search computing framework and a bioinformatics search computing (Bio-SeCo) application using these services has been  ...  Global ranking of integrated results is performed by composing partial rankings according to a predefined weighted combination function.  ... 
doi:10.2390/biecoll-jib-2011-166 pmid:21893701 fatcat:dtxg3hrp2rca3oxsvvcggpis54

Modeling causes of death: an integrated approach using CODEm

Kyle J Foreman, Rafael Lozano, Alan D Lopez, Christopher JL Murray
2012 Population Health Metrics  
Methods: We detail a specific implementation of these principles that is embodied in an analytical tool -the Cause of Death Ensemble model (CODEm) -which explores a large variety of possible models to  ...  Data on causes of death by age and sex are a critical input into health decision-making.  ...  Thanks to David Phillips and Charles Atkinson for maintaining the CODEm database and to Serkan Yalcin for maintaining the computational framework on which the software runs.  ... 
doi:10.1186/1478-7954-10-1 pmid:22226226 pmcid:PMC3315398 fatcat:tbag7oqotzgufixsyekgynhzoe

A new evaluation and decision making framework investigating the elimination-by-aspects model in the context of transportation projects' investment choices

R. Khraibani, A. de Palma, N. Picard, I. Kaysi
2016 Transport Policy  
The Transportation Elimination-by-Aspects (TEBA) framework, a new evaluation and decision making framework (and methodology) for large transportation projects, is proposed to elicit, structure and quantify  ...  The decision rule used for group decision making within TEBA is the individual non-compensatory model of choice elimination by aspects (EBA).  ...  The authors would also like to thank all those who supported the development of the survey tools and deployment.  ... 
doi:10.1016/j.tranpol.2016.02.005 fatcat:7fsfn2niijegpjssjy5hgxh44q

Novelty and Diversity in Recommender Systems [chapter]

Pablo Castells, Neil J. Hurley, Saul Vargas
2015 Recommender Systems Handbook  
We propose a framework that includes and unifies the main state of the art metrics for novelty and diversity in Recommender Systems, generalizing and extending them with further properties and flexibility  ...  We also propose a new formalization and unification of the way novelty and diversity are evaluated on Recommender Systems, considering rank and relevance as additional and meaningful aspects for the evaluation  ...  A third family is that of the metrics based on expected effort.  ... 
doi:10.1007/978-1-4899-7637-6_26 fatcat:53veooy4dzgzxcr3volnel46w4

A survey on stochastic multicriteria acceptability analysis methods

Tommi Tervonen, José Rui Figueira
2008 Journal of Multi-Criteria Decision Analysis  
In this paper we describe the methods of the family and define a unified SMAA framework. We also point out the key points in the methodology for future research.  ...  Even though the methods have been applied in the past in various real-life decision-making situations, the structure of a unified SMAA framework has not been studied.  ...  The work of José Figueira was partially supported by a research grant from CEG-IST.  ... 
doi:10.1002/mcda.407 fatcat:jy6qr7fv7veohof6dsgy6iex44

Ranking Intersecting Distribution Functions †

Rolf Aaberge, Tarjei Havnes, Magne Mogstad
2021 Journal of applied econometrics  
This allows us to identify the least restrictive rank-dependent social preferences that give an unambiguous ranking of a given set of distribution functions.  ...  The first (second) sequence extends second-degree stochastic dominance by placing more emphasis on differences that occur in the lower (upper) part of the distribution.  ...  OPEN RESEARCH BADGES This article has been awarded Open Data Badge for making publicly available the digitally-shareable data necessary to reproduce the reported results.  ... 
doi:10.1002/jae.2832 fatcat:jlbg7i7bfvc63hunabkp75ixhu

Towards a theory model for product search

Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
In a sense, the top ranked products are the "best value for money" for a specific user.  ...  Our extensive user studies, using more than 15,000 user-provided ranking comparisons, demonstrate an overwhelming preference for the rankings generated by our techniques, compared to a large number of  ...  In this case, we have a 40% probability of generating a "sample consumer" with family travel purpose and age above 45.  ... 
doi:10.1145/1963405.1963453 dblp:conf/www/LiGI11 fatcat:ymk7vvzuung4ncdsk7bidraf2a

Adaptive importance sampling for network growth models

Adam N. Guetz, Susan P. Holmes
2010 Annals of Operations Research  
We introduce the use of the classic Plackett-Luce model of rankings as a family of importance distributions.  ...  Updates to importance distributions are performed iteratively via the Cross-Entropy Method with an additional correction for degeneracy/ over-fitting inspired by the Minimum Description Length principle  ...  Acknowledgments The authors would like to thank two anonymous reviewers for detailed and insightful comments. Thanks to Persi Diaconis for useful discussions.  ... 
doi:10.1007/s10479-010-0685-2 pmid:27182098 pmcid:PMC4863242 fatcat:guoimz3hyrearatshp7yz34coe

Fair social decision under uncertainty and belief disagreements

Takashi Hayashi, Michele Lombardi
2018 Economic Theory  
Lombardi taking the form of a MaxMinMin social welfare function, as well as to the social set of priors containing only weighted averages of individual beliefs.  ...  (J Legal Stud 43:151-171, 2014), which says that a prospect Pareto dominates another one if the former gives a higher expected utility than the latter one, for each individual, for all individuals' beliefs  ...  On this basis, the paper builds a framework that allows for an explicit incorporation of inequality aversion and uncertainty aversion in the social evaluation of uncertain prospects.  ... 
doi:10.1007/s00199-017-1097-1 fatcat:ie2xgtksxbh5pall6fqpc7xeoa

Objective Improvement in Information-Geometric Optimization [article]

Youhei Akimoto
2013 arXiv   pre-print
Given a family of probability distributions, IGO turns the original optimization problem into a new maximization problem on the parameter space of the probability distributions.  ...  This article provides a theoretical justification for the IGO framework, by proving that any step size not greater than 1 guarantees monotone improvement over the course of optimization, in terms of q-quantile  ...  Theoretical justification of the IGO framework, therefore, is important both to provide a theoretical basis for the recovered algorithms and to make the design principle for future algorithms more reliable  ... 
arXiv:1211.3831v3 fatcat:4gocjvn5rfa4toapdtgiqvig5i
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