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An outranking approach for information retrieval

Mohamed Farah, Daniel Vanderpooten
2008 Information retrieval (Boston)  
Over the last three decades, research in Information Retrieval (IR) shows performance improvement when many sources of evidence are combined to produce a ranking of documents.  ...  Moreover, all these approaches do not handle imprecision of criterion scores.  ...  Approaches from multiple criteria decision theory, and especially outranking approaches, are generally used as an aid for decision makers.  ... 
doi:10.1007/s10791-008-9046-z fatcat:p425ljy5vveo3oazgusyo67iky

An outranking approach for rank aggregation in information retrieval

Mohamed Farah, Daniel Vanderpooten
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
We show that the proposed method deals well with the Information Retrieval distinctive features.  ...  Research in Information Retrieval usually shows performance improvement when many sources of evidence are combined to produce a ranking of documents (e.g., texts, pictures, sounds, etc.).  ...  Acknowledgments The authors would like to thank Jacques Savoy for his valuable comments on a preliminary version of this paper.  ... 
doi:10.1145/1277741.1277843 dblp:conf/sigir/FarahV07 fatcat:2ma3cm7gl5fjfl4qwkgwnokuhi

Novel Approaches in Text Information Retrieval - Experiments in the Web Track of TREC 2004

Mohamed Farah, Daniel Vanderpooten
2004 Text Retrieval Conference  
We deal with the problem of ranking Web documents within a multicriteria framework and propose a novel approach for information retrieval.  ...  In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004.  ...  We hereafter propose a formal approach for Web information retrieval where relevance is explicitly defined as multidimensional. The overall approach could be split into three phases.  ... 
dblp:conf/trec/FarahV04 fatcat:ercrc3njyrfprfsx4nrwopkfzu

Combining Multiple Similarity Metrics Using a Multicriteria Approach [chapter]

Luc Lamontagne, Irène Abi-Zeid
2006 Lecture Notes in Computer Science  
The problem of multimetrics retrieval is presented as an instance of the problem of ranking alternatives based on multiple attributes.  ...  Our results indicate that the use of a combination of metrics with a multicriteria decision aid method can increase retrieval precision and provide an advantage over weighted sum combinations especially  ...  Experiments with aggregation procedures other than ELECTRE II, will help understand if the outranking approach is viable for CBR retrieval.  ... 
doi:10.1007/11805816_31 fatcat:7h6yrsz2cjcllfswoelhjhtxlm

Method Chunks Selection by Multicriteria Techniques: an Extension of the Assembly-based Approach [article]

Elena Kornyshova, Camille Salinesi
2009 arXiv   pre-print
In this domain, approaches are developed accordingly to specific project specifications. We propose to adapt an existing method construction process, namely the assembly-based one.  ...  Our proposal is to offer a better guidance in the retrieval of chunks by the introduction of multicriteria techniques.  ...  The problem of chunk retrieval is an important part of this process and has to be easy and effective.  ... 
arXiv:0911.1495v1 fatcat:cps3oi7lyjgqzc53iyhmuahiwu

A Web-Based Platform for Mining and Ranking Association Rules [chapter]

Addi Ait-Mlouk, Lili Jiang
2020 Lecture Notes in Computer Science  
The developed system is flexible and allows intuitive creation and execution of different algorithms for an extensive range of advanced data analysis topics.  ...  In this demo, we introduce an interactive system, which effectively applies multiple criteria analysis to rank association rules.  ...  Conclusion This demo paper presents an open-source software for information retrieval by combining data mining especially association rules analysis and multiple criteria analysis.  ... 
doi:10.1007/978-3-030-45442-5_55 fatcat:327kypjlzzgglkcek6jbzstvqm

User Profile and Multi-criteria Decision Making: Personalization of Traveller's Information in Public Transportation

Soumaya Moussa, Makram Soui, Mourad Abed
2013 Procedia Computer Science  
Personalization plays an important role in information systems. It is an effective solution for reducing complexity when searching information.  ...  In this way, the user feels like the system was developed for him/her. In this context, personalization can be seen as an optimization problem.  ...  Personalization is an effective solution for reducing complexity when searching information.  ... 
doi:10.1016/j.procs.2013.09.119 fatcat:zb4rmmfn7rbozk4ltm2fvw2qou

An Outranking Approach for Gene Prioritization Using Multinetworks

Jesús Jaime Solano Noriega, Juan Carlos Leyva López, Fiona Browne, Jun Liu
2021 International Journal of Computational Intelligence Systems  
Specifically, we propose a data integration method within a multicriteria decision analysis context using aggregation mechanisms based on decision rules identifying positive and negative criteria for judging  ...  In this paper we present a general framework that integrates "omic" data using a multinetwork approach and topological analysis to prioritize disease-candidate genes.  ...  For each prioritization task, the top 23 prioritized genes were selected for comparison to the proposed outranking approach.  ... 
doi:10.2991/ijcis.d.210608.003 fatcat:tqwvtvhg4zbojagz6lv54fzhk4

Minimizing the Number of Keypoint Matching Queries for Object Retrieval

Johannes Niedermayer, Peer Kröger
2015 Procedings of the British Machine Vision Conference 2015  
Feature ranking is based on the idea that some features in an image contain more information than other features.  ...  This approach stands in contrast to research in the area of BoVW-based retrieval: Research involving the BoVW pipeline assumes that the matching step is relatively cheap, especially if approximate cluster  ...  Feature ranking is based on the idea that some features in an image contain more information than other features.  ... 
doi:10.5244/c.29.48 dblp:conf/bmvc/NiedermayerK15 fatcat:rsgrr2kahbftdi6ineor6k6wza

Outlier Detection Using Random Walks

H.D.K. Moonesignhe, Pang-ning Tan
2006 Proceedings - International Conference on Tools with Artificial Intelligence, TAI  
In this paper, we present a stochastic graph-based algorithm, called OutRank, for detecting outlying objects.  ...  The heart of this approach is the Markov model that is built upon this graph, which assigns an outlier score to each object.  ...  Acknowledgement We would like to thank the reviewers for their constructive and helpful comments.  ... 
doi:10.1109/ictai.2006.94 dblp:conf/ictai/MoonesighneT06 fatcat:7bymba2fhrg5fflk7b5kbeizii

OutRank: A GRAPH-BASED OUTLIER DETECTION FRAMEWORK USING RANDOM WALK

H. D. K. MOONESINGHE, PANG-NING TAN
2008 International journal on artificial intelligence tools  
This paper introduces a stochastic graph-based algorithm, called OutRank, for detecting outliers in data.  ...  The heart of this approach is the Markov chain model that is built upon this graph, which assigns an outlier score to each object.  ...  Acknowledgement We would like to thank the reviewers for their constructive and helpful comments.  ... 
doi:10.1142/s0218213008003753 fatcat:5cwjsjlp6jfh5psjlwqepz6kje

Preference-Based Evolutionary Algorithm for Airport Runway Scheduling and Ground Movement Optimisation

Michal Weiszer, Jun Chen, Paul Stewart
2015 2015 IEEE 18th International Conference on Intelligent Transportation Systems  
The preliminary results of computational experiments with data from a major airport show the efficiency of the proposed approach.  ...  The proposed evolutionary algorithm is based on modified crowding distance and outranking relation which considers cost of delay and price of fuel.  ...  Research on incorporating preferences into multiobjective optimisation, whether in a-posteriori manner when the preferences are known before the search or in an interactive approach when preference information  ... 
doi:10.1109/itsc.2015.336 dblp:conf/itsc/WeiszerCS15 fatcat:7mcee5njjbcxljlmst3uvaiasy

Page 1095 of The Journal of the Operational Research Society Vol. 60, Issue 8 [page]

2009 The Journal of the Operational Research Society  
The outranking approach and the foundations of ELECTRE methods. Theor Decis 31: 49-73. Roy B (1996). Multicriteria Methodology for Decision Aiding.  ...  An association-based dissimilarity measure for categorical data. Pattern Recogn Lett 26(16): 2549-2557. Lin D (1998). An information-theoretic definition of similarity.  ... 

Deriving a Domain Specific Test Collection from a Query Log

Avi Arampatzis, Jaap Kamps, Marijn Koolen, Nir Nussbaum
2007 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities  
Cultural heritage, and other special domains, pose a particular problem for information retrieval: evaluation requires a dedicated test collection that takes the particular documents and information requests  ...  Third, deriving pseudo-relevance judgments from a transaction log file is an attractive option in domains where dedicated test collections are not readily available.  ...  s 6th FP for RTD (project MultiMatch contract IST-033104).  ... 
dblp:conf/latech/ArampatzisKKN07 fatcat:ief2hjtp75curhrwomcjafswte

Multicriteria decision analysis in oncology

Georges Adunlin, Vakaramoko Diaby, Alberto J. Montero, Hong Xiao
2014 Health Expectations  
Aim The aim of this paper is to discuss a rationale for the use of MCDA in oncology.  ...  Choosing the appropriate method varies depending on the source and nature of information used to inform decision making. The literature review identified eight studies.  ...  Georges Adunlin would like to thank the Florida A&M University CRTCS for providing training and education on cancer research.  ... 
doi:10.1111/hex.12178 pmid:24635949 pmcid:PMC4318795 fatcat:snztikddnzfrjkcas6tshrtedm
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