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Improving Document Ranking in Information Retrieval Using Ordered Weighted Aggregation and Leximin Refinement

Mohand Boughanem, Yannick Loiseau, Henri Prade
2005 European Society for Fuzzy Logic and Technology  
Classical information retrieval (IR) methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents.  ...  To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vector-based ordering technique already considered in fuzzy logic for multiple criteria analysis purpose  ...  In the context of information retrieval, given two vectors representing the weights of terms in query q for documents d 1 and d 2 , expressing term-document relevance.  ... 
dblp:conf/eusflat/BoughanemLP05 fatcat:uc6izdh54fgkxc2mhvqapu4loi

Rank-Ordering Documents According to Their Relevance in Information Retrieval Using Refinements of Ordered-Weighted Aggregations [chapter]

Mohand Boughanem, Yannick Loiseau, Henri Prade
2006 Lecture Notes in Computer Science  
Classical information retrieval methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents.  ...  To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vectorbased ordering technique already considered in fuzzy logic for multicriteria analysis purpose.  ...  Different kinds of aggregation functions can be used for combining the weights of the terms (pertaining to the same document) that are present in the considered query (assumed for the moment to be without  ... 
doi:10.1007/11670834_4 fatcat:mp5ivid6wjf3fo2nvhf2ic7eyq

Query Refinement by Relevance Feedback in an XML Retrieval System [chapter]

Hanglin Pan, Anja Theobald, Ralf Schenkel
2004 Lecture Notes in Computer Science  
For each query, there is a result pool. Each document in a result set has a relevance assessment score provided by human experts.  ...  We show the comparison between different strategies of rank aggregation, query reweighting and expansion. We also show our approach to refine structural XML queries based on relevance feedback.  ...  Strategy Selection for Query Reweighting and Query Expansion : The strategy selection module will choose an appropriate rank aggregation function over atomic conditions for overall score computation.  ... 
doi:10.1007/978-3-540-30464-7_70 fatcat:tnvvqpg2lfe6nmph7ouy5wuui4

Mining anchor text for query refinement

Reiner Kraft, Jason Zien
2004 Proceedings of the 13th conference on World Wide Web - WWW '04  
We propose a new method for automatically generating refinements or related terms to queries by mining anchor text for a large hypertext document collection.  ...  We show that the usage of anchor text as a basis for query refinement produces high quality refinement suggestions that are significantly better in terms of perceived usefulness compared to refinements  ...  Rank Aggregation Methodologies There are a plethora of different ranking methodologies for Web information retrieval available [16] , [17] .  ... 
doi:10.1145/988672.988763 dblp:conf/www/KraftZ04 fatcat:lst6ciyoobghjkr3qsfn74m2g4

Evolving Disjunctive and Conjunctive Topical Queries based on Multi-objective Optimization Criteria

Rocío L. Cecchini, Carlos M. Lorenzetti, Ana G. Maguitman
2010 Inteligencia Artificial  
Finally, we show that the multi-objective evolutionary approach results in better performance than a baseline and other state-of-the-art techniques for query refinement.  ...  In addition, we observe that disjunctive queries have the potential to achieve better retrieval performance than conjunctive queries.  ...  One of the objective functions considered in our analysis is precision at rank 10 (Precision@10), which is the fraction of the top 10 retrieved documents which are known to be relevant.  ... 
doi:10.4114/ia.v13i44.1042 fatcat:m7wadlmg5veqrgqmcugd7kzf2y

Integrated legal information retrieval: new developments and educational challenges

Kees van Noortwijk
2017 European Journal of Law and Technology  
Integrated legal information retrieval: new developments and educational challenges Kees (C.) van Noortwijk [1]  ...  With a properly functioning relevance ranking mechanism, users no longer need to keep on refining queries until a small number of results remains.  ...  This enables users to find relevant documents that are not part of the set that is retrieved by an initial query and subsequent refinements. Using crosslinks, recall can be improved further.  ... 
dblp:journals/jilt/Noortwijk17 fatcat:jzcya2bwpbezvira5bfzu6gmpy

Effective latent space graph-based re-ranking model with global consistency

Hongbo Deng, Michael R. Lyu, Irwin King
2009 Proceedings of the Second ACM International Conference on Web Search and Data Mining - WSDM '09  
Experimental results show that the improvement in our proposed method is consistent and promising.  ...  Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link information individually.  ...  We thank the anonymous reviewers for their helpful comments.  ... 
doi:10.1145/1498759.1498829 dblp:conf/wsdm/DengLK09 fatcat:5uonglc5cner3mkymdogzvntai

Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness? [chapter]

Damien Palacio, Christian Sallaberry, Guillaume Cabanac, Gilles Hubert, Mauro Gaio
2012 Lecture Notes in Geoinformation and Cartography  
In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +).  ...  We also conduct experiments to verify that this approach improves the effectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).  ...  Multi-Criteria Information Retrieval In the context of multi-criteria IR, Farah and Vanderpooten [5] define result aggregation as a process that ranks documents by combining document retrieval status  ... 
doi:10.1007/978-3-642-29063-3_15 fatcat:fp5ynxa5mfavdnildisrfgl3ee

iRANK: A rank-learn-combine framework for unsupervised ensemble ranking

Furu Wei, Wenjie Li, Shixia Liu
2010 Journal of the American Society for Information Science and Technology  
Traditional approaches either combine multiple ranking criteria into a unified representation to obtain an overall ranking score or to utilize certain rank fusion or aggregation techniques to combine the  ...  This mutual ranking refinement process continues until the two base rankers cannot learn from each other any more.  ...  Zhou for her support in preparing an earlier draft of this manuscript. Work was supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No.  ... 
doi:10.1002/asi.21296 fatcat:2vj7rvcvlfepjeieyy367ptcgu

Enhanced Models for Expertise Retrieval Using Community-Aware Strategies

Hongbo Deng, I. King, M. R. Lyu
2012 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
retrieval in the document-based model.  ...  Moreover, the improvements made in the enhanced models are significant and consistent. Index Terms-Community-aware strategy, expertise retrieval, language model, query-sensitive AuthorRank.  ...  For a single query, AP is defined as the average of the P@n values for all relevant documents AP = N n=1 (P @n * rel(n)) R where n is the rank, N is the number retrieved, and rel(n) is a binary function  ... 
doi:10.1109/tsmcb.2011.2161980 pmid:21827974 fatcat:v2yv2jdonzdwlntnzmyr4j73mm

Toward Consistent Evaluation of Relevance Feedback Approaches in Multimedia Retrieval [chapter]

Xiangyu Jin, James French, Jonathan Michel
2006 Lecture Notes in Computer Science  
Many different communities have conducted research on the efficacy of relevance feedback in multimedia information systems.  ...  We propose a common framework in which to discuss the differing techniques proposed for relevance feedback and we develop a strategy for fairly comparing the relative performance of the techniques. 1 http  ...  Define relevance function rel(d) as a Boolean function to show whether the document d is relevant for the current information need 3.  ... 
doi:10.1007/11670834_16 fatcat:xcp7qaiu3bewxhqdcpo7eckg64

User Centered and Ontology Based Information*Retrieval System for Life Sciences

Sylvie Ranwez, Sylvie Ranwez, Vincent Ranwez, Mohameth François Sy, Jacky Montmain, Michel Crampes
2010 Nature Precedings  
In life science, for instance, the Gene Ontology is widely exploited in genomic applications and the Medical Subject Headings is the basis of biomedical publications indexation and information retrieval  ...  Semantic proximities between ontology concepts and aggregating models are used to assess documents adequacy with respect to a query.  ...  This article has been published as part of BMC Bioinformatics Volume 13 Supplement 1, 2012: Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2010.  ... 
doi:10.1038/npre.2010.5408 fatcat:ameokciqrvbjnnpiec4b52vrmq

User centered and ontology based information retrieval system for life sciences

Mohameth-François Sy, Sylvie Ranwez, Jacky Montmain, Armelle Regnault, Michel Crampes, Vincent Ranwez
2011 BMC Bioinformatics  
In life science, for instance, the Gene Ontology is widely exploited in genomic applications and the Medical Subject Headings is the basis of biomedical publications indexation and information retrieval  ...  Semantic proximities between ontology concepts and aggregating models are used to assess documents adequacy with respect to a query.  ...  This article has been published as part of BMC Bioinformatics Volume 13 Supplement 1, 2012: Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2010.  ... 
doi:10.1186/1471-2105-13-s1-s4 pmid:22373375 pmcid:PMC3434427 fatcat:zk2eeeetabgq3fj7fcr2xlcwl4

User Centered and Ontology Based Information Retrieval System for Life Sciences [article]

Sylvie Ranwez, Vincent Ranwez, Mohameth-François Sy, Jacky Montmain, Michel Crampes
2010 arXiv   pre-print
Current search engines suffer from two main drawbacks: there is limited interaction with the list of retrieved documents and no explanation for their adequacy to the query.  ...  This paper describes a request method and an environment based on aggregating models to assess the relevance of documents annotated by concepts of ontology.  ...  Information retrieval (IR), the key functionality of the emerging "semantic Web", is one of the main challenges for the coming years.  ... 
arXiv:1012.1617v1 fatcat:gq63ohc7qjglznnceo73xsgp3u

Multistage BiCross encoder for multilingual access to COVID-19 health information

Iknoor Singh, Carolina Scarton, Kalina Bontcheva, Balaraman Ravindran
2021 PLoS ONE  
This has motivated the need for accurate semantic search and retrieval of reliable COVID-19 information across millions of documents, in multiple languages.  ...  It is a sequential three-stage ranking pipeline which uses the Okapi BM25 retrieval algorithm and transformer-based bi-encoder and cross-encoder to effectively rank the documents with respect to the given  ...  the best performing ones for retrieving COVID-19 health information across millions of documents, in multiple languages.  ... 
doi:10.1371/journal.pone.0256874 pmid:34492073 fatcat:wl5ozj47s5aajpilg7jobwxhka
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