Relevant bibliographies by topics / Relevance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Relevance'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Relevance"

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Santos, Simone Miranda dos, Sirlei Lemes, and Flávio Luiz de Moraes Barboza. "O Value Relevance é relevante?" Revista de Contabilidade e Organizações 13 (May 31, 2019): e152518. http://dx.doi.org/10.11606/issn.1982-6486.rco.2019.152518.

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A adoção das IFRS pelas companhias de capital aberto no Brasil trouxe a discussão se as referidas normas melhoraram a qualidade das informações contábeis com efeito destas no preço das ações. Os estudos empíricos atualmente demandam uma nova análise dos resultados encontrados sobre o value relevance do lucro líquido (LL) e do Patrimônio Líquido (PL). Foi realizada uma meta-análise dos estudos publicados sobre o tema, examinando separadamente os modelos de preço e retorno propostos por Ohlson (1995). A amostra constituiu-se de 26 artigos, que analisaram empresas brasileiras no período de 1997 a 2014, totalizando 18.562 observações consideradas pelos artigos que testaram o período pré IFRS e 17.381 observações utilizadas nos testes pós IFRS, para os modelos de preço e retorno. Os resultados indicaram queda do value relevance do PL e ganho na relevância da informação do LL após a adoção das IFRS.
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Hosseinzadeh Kassani, Sara, Farhood Rismanchian, and Peyman Hosseinzadeh Kassani. "k-relevance vectors: Considering relevancy beside nearness." Applied Soft Computing 112 (November 2021): 107762. http://dx.doi.org/10.1016/j.asoc.2021.107762.

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Riegelhaupt, Paul M., Hugh C. Hemmings, and Peter A. Goldstein. "Relevance of Clinical Relevance." Anesthesiology 125, no. 4 (October 1, 2016): 821–22. http://dx.doi.org/10.1097/aln.0000000000001257.

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Subramanian, Devika, Russell Greiner, and Judea Pearl. "The relevance of relevance." Artificial Intelligence 97, no. 1-2 (December 1997): 1–5. http://dx.doi.org/10.1016/s0004-3702(97)00075-1.

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Kim, Nam Young, and S. Shyam Sundar. "Personal Relevance Versus Contextual Relevance." Journal of Media Psychology 24, no. 3 (January 2012): 89–101. http://dx.doi.org/10.1027/1864-1105/a000067.

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Personalization, or the tailoring of content to meet users’ unique needs, is considered a desirable feature of digital media, particularly websites, because it results in content that is highly relevant to the user. However, it is not always possible to provide personally relevant content. Under such circumstances, the best that a system can do is provide contextually relevant peripheral content (e.g., ads) based on the topic of the main content (e.g., search-engine output). This raises an important question: Does context relevance have the same positive effects on user perceptions of websites as personal relevance? If context relevance can indeed make up for the lack of personalization, then boosting it via ad content on the site should serve to enhance appeal even when the main content is not personalized. Using a 2 × 2 factorial experiment (N = 60), we investigated whether perceptions of a website and the ads themselves varied as a function of the presence of personalized site content and ad relevance to website context. Results indicate that personal relevance and context relevance are fungible in contributing to user attitudes toward the site. Theoretical and practical implications are discussed.
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Wharton, Tim. "Relevance." Pragmatics and Cognition 28, no. 2 (December 31, 2021): 321–46. http://dx.doi.org/10.1075/pc.21013.wha.

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Abstract Deirdre Wilson (2018) provides a reflective overview of a volume devoted to the historic application of relevance-theoretic ideas to literary studies. She maintains a view argued elsewhere that the putative non-propositional nature of (among other things) literary effects are an illusion, a view which dates to Sperber and Wilson (1986/1995: 224): “If you look at [non-propositional] affective effects through the microscope of relevance theory, you see a wide array of minute cognitive [i.e., propositional] effects.” This paper suggests an alternative, that modern-day humans have two apparently different modes of expressing and interpreting information: one of these is a system in which propositional, cognitive effects dominate; the other involves direct, non-propositional effects. The paper concludes by describing two ways such affects might be assimilated into relevance theory. The first, to accept that humans are much more than merely cognitive organisms; the second, to rethink quite radically what we mean by cognition.
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Krelove, Karl. "Relevance?" Music Educators Journal 91, no. 5 (May 2005): 11. http://dx.doi.org/10.2307/3400124.

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Babiss, Fran. "Relevance." Occupational Therapy in Mental Health 33, no. 2 (April 3, 2017): 105–6. http://dx.doi.org/10.1080/0164212x.2017.1320205.

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Greenstone, James L. "Relevance." Journal of Police Crisis Negotiations 7, no. 2 (September 19, 2007): 1–3. http://dx.doi.org/10.1300/j173v07n02_01.

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Schlesinger, George N. "Relevance." Theoria 52, no. 1-2 (February 11, 2008): 57–67. http://dx.doi.org/10.1111/j.1755-2567.1986.tb00099.x.

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Dissertations / Theses on the topic "Relevance"

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Zhang, Peng. "Approximating true relevance model in relevance feedback." Thesis, Robert Gordon University, 2013. http://hdl.handle.net/10059/808.

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Relevance is an essential concept in information retrieval (IR) and relevance estimation is a fundamental IR task. It involves not only document relevance estimation, but also estimation of user's information need. Relevance-based language model aims to estimate a relevance model (i.e., a relevant query term distribution) from relevance feedback documents. The true relevance model should be generated from truly relevant documents. The ideal estimation of the true relevance model is expected to be not only effective in terms of mean retrieval performance (e.g., Mean Average Precision) over all the queries, but also stable in the sense that the performance is stable across different individual queries. In practice, however, in approximating/estimating the true relevance model, the improvement of retrieval effectiveness often sacrifices the retrieval stability, and vice versa. In this thesis, we propose to explore and analyze such effectiveness-stability tradeoff from a new perspective, i.e., the bias-variance tradeoff that is a fundamental theory in statistical estimation. We first formulate the bias, variance and the trade-off between them for retrieval performance as well as for query model estimation. We then analytically and empirically study a number of factors (e.g., query model complexity, query model combination, document weight smoothness and irrelevant documents removal) that can affect the bias and variance. Our study shows that the proposed bias-variance trade-off analysis can serve as an analytical framework for query model estimation. We then investigate in depth on two particular key factors: document weight smoothness and removal of irrelevant documents, in query model estimation, by proposing novel methods for document weight smoothing and irrelevance distribution separation, respectively. Systematic experimental evaluation on TREC collections shows that the proposed methods can improve both retrieval effectiveness and retrieval stability of query model estimation. In addition to the above main contributions, we also carry out initial exploration on two further directions: the formulation of bias-variance in personalization and looking at the query model estimation via a novel theoretical angle (i.e., Quantum theory) that has partially inspired our research.
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Maglaughlin, Kelly L., and Diane H. Sonnenwald. "User Perspectives on Relevance Criteria: A Comparison among Relevant, Partially Relevant, and Not-Relevant Judgments." Wiley Periodicals, Inc, 2002. http://hdl.handle.net/10150/105087.

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This study investigates the use of criteria to assess relevant, partially relevant and not relevant documents. Each study participant identified passages within 20 document representations that were used in making relevance judgments, judged each document representation as a whole to be relevant, partially relevant or not relevant to their information need, and explained their decisions in an interview. Analysis revealed 29 criteria, discussed positively and negatively, used by the participants when selecting passages that contributed or detracted from a document's relevance. These criteria can be grouped into 6 categories: author, abstract, content, full text, journal or publisher and personal. Results indicate that multiple criteria are used when making relevant, partially relevant and not relevant judgments. Additionally, most criteria can have both a positive or negative contribution to the relevance of a document. The criteria most frequently mentioned by study participants in this study was content, followed by criteria concerning the full text document. These findings may have implications for relevance feedback in information retrieval systems, suggesting that users give relevance feedback using multiple criteria and indicate positive and negative criteria contributions. Systems designers may want to focus on supporting content criteria followed by full text criteria as this may provide the greatest cost benefit.
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Gutt, Ernst-August. "Translation and relevance." Thesis, University College London (University of London), 1989. http://discovery.ucl.ac.uk/1317504/.

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In this study I argue that the phenomenon commonly referred to as "translation" can be accounted for naturally within the relevance theory of communication developed by Sperber and Wilson: there is no need for a distinct general theory of translation. Most kinds of translation can be analysed as varieties of Interpretive use. I distinguish direct from indirect translation, where direct translation corresponds to the idea that translation should convey the same meaning as the original, including stylistic effects, and indirect translation involves looser degrees of faithfulness. I show that direct translation is merely a special case of interpretive use, whereas indirect translation is the general case. More generally, the different kinds of translation, with the various principles and guidelines that have been proposed to account for them, can be explained in terms of the interaction between the principle of relevance and contextual factors, without recourse to typological frameworks. I end by arguing that the communicative success of a translation is not determined by conformity to any stipulations of translation theory, but by the causal interaction between stimulus, context and interpretation rooted in the relevance-orientation of human cognition.
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Ifantidou, Elly. "Evidentials and relevance." Thesis, University College London (University of London), 1994. http://discovery.ucl.ac.uk/1381758/.

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Evidentials are expressions used to indicate the source of evidence and strength of speaker commitment to information conveyed. They include sentence adverbials such as 'obviously', parenthetical constructions such as 'I think', and hearsay expressions such as 'allegedly'. This thesis argues against the speech-act and Gricean accounts of evidentials and defends a Relevance-theoretic account Chapter 1 surveys general linguistic work on evidentials, with particular reference to their semantic and pragmatic status, and raises the following issues: for linguistically encoded evidentials, are they truth-conditional or non-truth-conditional, and do they contribute to explicit or implicit communication. For pragmatically inferred evidentials, is there a pragmatic framework in which they can be adequately accounted for? Chapters 2-4 survey the three main semantic/pragmatic frameworks for the study of evidentials. Chapter 2 argues that speech-act theory fails to give an adequate account of pragmatic inference processes. Chapter 3 argues that while Grice's theory of meaning and communication addresses all the central issues raised in the first chapter, evidentials fall outside Grice's basic categories of meaning and communication. Chapter 4 outlines the assumptions of Relevance Theory that bear on the study of evidentials. I sketch an account of pragmatically inferred evidentials, and introduce three central distinctions: between explicit and implicit communication, truth-conditional and non-truth-conditional meaning, and conceptual and procedural meaning. These distinctions are applied to a variety of linguistically encoded evidentials in chapters 5-7. Chapter 5 deals with sentence adverbials, chapter 6 focuses on parenthetical constructions, and chapter 7 looks at hearsay particles. My main concern is with how these expressions pattern with respect to the three distinctions developed in chapter 4. 1 show that although all three types of expression contribute to explicit rather than implicit communication, they exhibit important differences with respect to both the truth conditional/ non-truth-conditional and the conceptual/procedural distinctions. Chapter 8 is a brief conclusion.
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Matsui, Tomoko. "Bridging and relevance." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481767.

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Nemes, Linda M. "Relevance of ambiguity." Thesis, Virginia Polytechnic Institute and State University, 1991. http://hdl.handle.net/10919/53297.

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Many times it is not an answer towards which we struggle but instead the formulation of the question. The answer then becomes the lifelong quest. This thesis I believe to be the formulation of that question and my architectural career the pursuit of the answer.
Master of Architecture
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Woods, Walt. "Sensory Relevance Models." PDXScholar, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/5123.

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This dissertation concerns methods for improving the reliability and quality of explanations for decisions based on Neural Networks (NNs). NNs are increasingly part of state-of-the-art solutions for a broad range of fields, including biomedical, logistics, user-recommendation engines, defense, and self-driving vehicles. While NNs form the backbone of these solutions, they are often viewed as "black box" solutions, meaning the only output offered is a final decision, with no insight into how or why that particular decision was made. For high-stakes fields, such as biomedical, where lives are at risk, it is often more important to be able to explain a decision such that the underlying assumptions might be verified. Prior methods of explaining NN decisions from images have been proposed, and fall into one of two categories: post-hoc analyses and attention networks. Post-hoc analyses, such as Grad-CAM, look at gradient information within the network to identify which regions of an image had the greatest effect on the final decision. Attention networks consist of structural changes to the network, which produce a mask through which the image is filtered before subsequent processing. The result is a heatmap highlighting regions which have the greatest effect on the final decision. This dissertation identifies two flaws with these approaches. First, these methods of explanation change wildly when the network is exposed to adversarial examples. When an imperceptible change to the input results in a significant change in the explanation, how reliable is the explanation? Second, these methods all produce a heatmap, which arguably does not have the definition required to truly understand which features are important. An algorithm that can draw a circle around a cat does not necessarily know that it is looking at a cat; it only recognizes the existence of a salient object. To address these flaws, this dissertation explores Sensory Relevance Models (SRMs), methods of explanation which utilize the full richness of the sensory domain. Initially motivated by a study of sparsity, several incarnations of SRMs were evaluated for their ability to resist adversarial examples and provide a more informative explanation than a heatmap. The first SRM formulation resulted from a study of network bisections, where NNs were split into a pre-processing step (the SRM) and a classifying step. The result of the pre-processing step would be made very sparse before being passed to the classifier. Visualizing the sparse, intermediate computation would potentially have yielded a heatmap-like explanation, with the potential for more textured explanations being formed off of the myriad features comprising each spatial location of the SRM's output. Two methods of achieving network bisection using auxiliary losses were devised, and both were successful in generating a sparse, intermediate representation which could be interpreted by a human observer. However, even a network bisection SRM which used only 26% of the input image did not result in decreased adversarial attack magnitude. Without solving the adversarial attack issue, any explanation based on the network bisection SRM would be as fragile as previously proposed methods. That led to the theory of Adversarial Explanations (AE). Rather than trying to produce an explanation in spite of adversarial examples, it made sense to work with them. For images, adversarial examples result in full-color, high-definition output. If they could be leveraged for explanations, they would solve both of the flaws identified with previous explanation techniques. Through new mathematical techniques, such as a stochastic Lipschitz constraint, and designing new mechanisms for NNs, such as the Half-Huber Rectified Linear Unit, AE were very successful. On ILSVRC 2012, a dataset of 1,281,167 images of size 224x224 comprising 1,000 different classes, the techniques for AE resulted in NNs 2.4x more resistant to adversarial attacks than the previous state-of-the-art, while retaining the same accuracy on clean data and using a smaller network. Explanations generated using AE possessed very discernible features, with a more obvious interpretation when compared to heatmap-based explanations. As AE works with the non-linearities of NNs rather than against them, the explanations are relevant for a much larger neighborhood of inputs. Furthermore, it was demonstrated that the new adversarial examples produced by AE could be annotated and fed back into the training process, yielding further improved adversarial resistance through a Human-In-The-Loop pipeline. Altogether, this dissertation demonstrates significant advancements in the field of machine learning, particularly for explaining the decisions of NNs. At the time of publication, AE is an unparalleled technique, producing more reliable, higher-quality explanations for image classification decisions than were previously available. The modifications presented also demonstrate ways in which adversarial attacks might be mitigated, improving the security of NNs. It is my hope that this work provides a basis for future work in the realms of both adversarial resistance and explainable NNs, making algorithms more reliable for industry fields where accountability matters, such as biomedical or autonomous vehicles.
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Frank, Mario. "Axiom relevance decision engine : technical report." Universität Potsdam, 2012. http://opus.kobv.de/ubp/volltexte/2014/7212/.

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This document presents an axiom selection technique for classic first order theorem proving based on the relevance of axioms for the proof of a conjecture. It is based on unifiability of predicates and does not need statistical information like symbol frequency. The scope of the technique is the reduction of the set of axioms and the increase of the amount of provable conjectures in a given time. Since the technique generates a subset of the axiom set, it can be used as a preprocessor for automated theorem proving. This technical report describes the conception, implementation and evaluation of ARDE. The selection method, which is based on a breadth-first graph search by unifiability of predicates, is a weakened form of the connection calculus and uses specialised variants or unifiability to speed up the selection. The implementation of the concept is evaluated with comparison to the results of the world championship of theorem provers of the year 2012 (CASC J6). It is shown that both the theorem prover leanCoP which uses the connection calculus and E which uses equality reasoning, can benefit from the selection approach. Also, the evaluation shows that the concept is applyable for theorem proving problems with thousands of formulae and that the selection is independent from the calculus used by the theorem prover.
Dieser technische Report beschreibt die Konzeption, Implementierung und Evaluation eines Verfahrens zur Auswahl von logischen Formeln bezüglich derer Relevanz für den Beweis einer logischen Formel. Das Verfahren wird ausschließlich für die Prädikatenlogik erster Ordnung angewandt, wenngleich es auch für höherstufige Prädikatenlogiken geeignet ist. Das Verfahren nutzt eine unifikationsbasierte Breitensuche im Graphen wobei jeder Knoten im Graphen ein Prädikat und jede existierende Kante eine Unifizierbarkeitsrelation ist. Ziel des Verfahrens ist die Reduktion einer gegebenen Menge von Formeln auf eine für aktuelle Theorembeweiser handhabbare Größe. Daher ist das Verfahren als Präprozess-Schritt für das automatische Theorembeweisen geeignet. Zur Beschleunigung der Suche wird neben der Standard-Unifikation eine abgeschwächte Unifikation verwendet. Das System wurde während der Weltmeisterschaft der Theorembeweiser im Jahre 2014 (CASC J6) in Manchester zusammen mit dem Theorembeweiser leanCoP eingereicht und konnte leanCoP dabei unterstützen, Probleme zu lösen, die leanCoP alleine nicht handhaben kann. Die Tests mit leanCoP und dem Theorembeweiser E im Nachgang zu der Weltmeisterschaft zeigen, dass das Verfahren unabhängig von dem verwendeten Kalkül ist und bei beiden Theorembeweisern positive Auswirkungen auf die Beweisbarkeit von Problemen mit großen Formelmengen hat.
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Lowrie, Anthony. "Marketing higher education : the promotion of relevance and the relevance of promotion." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614172.

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Yuksel, Melih. "Relevance Of Team 10." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606076/index.pdf.

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This thesis aims at understanding design strategies developed by Team 10 members and their relevance to contemporary architecture. These strategies are studied by referring to their seminal projects. It is argued that what is significant in the design approaches of Team 10 is the search for patterns of human association or networks of human relations that supports physical structure and organizes social communication. The thesis focuses on the Golden Lane Housing Project (1952) by Alison and Peter Smithson is in order to illustrate how the patterns of association are organized. Team 10&
#8217
s approach to design suggests a shift of emphasis from specific object to spatial organization of relations. They try to achieve a multi-layered urban and architectural solution. Their projects are infrastructural organizations, in which all layers are combined in a perpetual complex system. The thesis makes an analysis of the Golden Lane Housing Project in order to understand the ways how the layers are organized and associated to each other. An inquiry into the works of Team 10 members shows that they put particular emphasis on the notions of infrastructural organization, mobility, flexibility, layering, adaptability to change and growth, repetition and variation. The thesis points out that these notions are still relevant in contemporary architectural practices.
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Books on the topic "Relevance"

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Robyn, Carston, and Uchida Seiji, eds. Relevance theory: Applications and implications. Amsterdam: J. Benjamins, 1998.

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Matsui, Tomoko. Bridging and relevance. Amsterdam: J. Benjamins Pub., 2000.

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Padilla Cruz, Manuel, ed. Relevance Theory. Amsterdam: John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/pbns.268.

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Carston, Robyn, and Seiji Uchida, eds. Relevance Theory. Amsterdam: John Benjamins Publishing Company, 1998. http://dx.doi.org/10.1075/pbns.37.

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Albee, Ardath. Digital Relevance. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137452818.

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Deirdre, Wilson, and Smith N. V. 1939-, eds. Relevance theory. Amsterdam: Elsevier, 1992.

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Walton, Douglas N. Relevance in argumentation. Mahwah, NJ: L. Erlbaum Associates, 2002.

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Ifantidou, Elly. Evidentials and relevance. Amsterdam: J. Benjamins, 2001.

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Coerver, Harrison, and Mary Byers, eds. Road to Relevance. Washington, DC: ASAE: The Center for Association Leadership, 2013. http://dx.doi.org/10.1002/9781118901083.

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Coerver, Harrison, and Mary Byers, eds. Race for Relevance. Washington, DC: ASAE: The Center for Association Leadership, 2013. http://dx.doi.org/10.1002/9781118891346.

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Book chapters on the topic "Relevance"

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Dunn, J. Michael. "The Relevance of Relevance to Relevance Logic." In Logic and Its Applications, 11–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45824-2_2.

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Gerring, John. "The relevance of relevance." In The Relevance of Political Science, 36–49. London: Macmillan Education UK, 2015. http://dx.doi.org/10.1007/978-1-137-50660-3_3.

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Jenkins, Edgar. "Relevance." In Encyclopedia of Science Education, 1–3. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6165-0_173-1.

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Pehcevski, Jovan, and Birger Larsen. "Relevance." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_309-2.

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Hitchcock, David. "Relevance." In On Reasoning and Argument, 349–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53562-3_22.

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Jenkins, Edgar. "Relevance." In Encyclopedia of Science Education, 829–31. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-2150-0_173.

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Letiche, Hugo, and Geoffrey Lightfoot. "Relevance." In The Relevant PhD, 47–74. Rotterdam: SensePublishers, 2014. http://dx.doi.org/10.1007/978-94-6209-629-5_3.

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Pehcevski, Jovan, and Birger Larsen. "Relevance." In Encyclopedia of Database Systems, 2377–78. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_309.

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Canavan, Brendan. "Relevance." In Contemporary Consumption, Consumers and Marketing, 1–21. 1 Edition. | New York : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003013532-1.

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Bansemir, Bastian. "Relevance." In Organizational Innovation Communities, 2–5. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-01302-8_1.

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Conference papers on the topic "Relevance"

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Robertson, S. E., and S. Walker. "On relevance weights with little relevance information." In the 20th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/258525.258529.

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Lv, Yuanhua, and ChengXiang Zhai. "Positional relevance model for pseudo-relevance feedback." In Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835546.

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Biehl, Michael, and Sofie Lövdal. "Improved Interpretation of Feature Relevances: Iterated Relevance Matrix Analysis (IRMA)." In ESANN 2023 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com, 2023. http://dx.doi.org/10.14428/esann/2023.es2023-127.

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Bailey, Peter, Nick Craswell, Ian Soboroff, Paul Thomas, Arjen P. de Vries, and Emine Yilmaz. "Relevance assessment." In the 31st annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1390334.1390447.

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de Vries, Arjen P., and Thomas Roelleke. "Relevance information." In the 28th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1076034.1076084.

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Ali, M. S., Mariano P. Consens, Gabriella Kazai, and Mounia Lalmas. "Structural relevance." In Proceeding of the 17th ACM conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1458082.1458235.

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Yang, Ziying. "Relevance Judgments." In SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3077136.3084154.

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Huang, Jiansheng, and Jeffrey F. Naughton. "K-relevance." In the 2007 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1247480.1247500.

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Haas, Micha, Joachim Rijsdam, Bart Thomee, and Michael S. Lew. "Relevance feedback." In the 6th ACM SIGMM international workshop. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1026711.1026737.

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Athukorala, Kumaripaba, Alan Medlar, Antti Oulasvirta, Giulio Jacucci, and Dorota Glowacka. "Beyond Relevance." In IUI'16: 21st International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2856767.2856786.

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Reports on the topic "Relevance"

1

Woods, Walt. Sensory Relevance Models. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7002.

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Shelton, William L. A Question of Relevance. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada440715.

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Kuyk, Charles M. NATO's Evolution: Maintaining Relevance. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada394494.

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Sommer, John T. Peace Operations: Readiness and Relevance. Fort Belvoir, VA: Defense Technical Information Center, February 1997. http://dx.doi.org/10.21236/ada325116.

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Kyburg Jr, Henry E. Epistemological Relevance and Statistical Knowledge. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada250144.

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Kyburg, Jr, and Henry E. Epistemological Relevance and Statistical Knowledge. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada250614.

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Ohlinger, Brian J. Peacetime Engagement - A Search for Relevance? Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada249355.

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Forster, Scott T. ARMY - Full Spectrum Relevance and Readiness. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada377946.

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Haarsager, Ulrike, Claudia Figueroa, Chiaki Yamamoto, Fernando Barbosa, Anna Funaro, Galia Rabchinsky, Melanie Putic, et al. Evaluation of IDB Lab: Strategic Relevance. Inter-American Development Bank, June 2021. http://dx.doi.org/10.18235/0003405.

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Abstract:
This report presents the findings of the first phase of an evaluation of IDB Lab, which until 2018 was known as the Multilateral Investment Fund (MIF). The mandate for this independent evaluation stems from the second capital replenishment of the MIF (MIF III), which was approved by MIF Donors in April 2017 and became effective in March 2019. The Agreement Establishing the MIF III lays out the expected functions of the Fund and establishes that, any time after the first anniversary of the MIF III, IDB's Office of Evaluation and Oversight (OVE) is to conduct an independent evaluation to: i. Review MIF results in light of the purpose and functions of the MIF III Agreement; ii. Assess MIF operations for relevance, effectiveness, efficiency, innovation, sustainability, and additionality; iii. Determine to what extent progress has been made on implementing the approved recommendations of OVE's 2013 evaluation of the MIF. Donors requested that OVE deliver an evaluation of IDB Lab in 2021 to inform discussions about the Lab's future and funding model. As a result, OVE included this evaluation in its 2020/2021 work program and developed an Approach Paper (Annex V) issued in October 2020. OVE is conducting the evaluation in two overlapping phases. The first phase, conducted from April 2020 to May 2021, evaluated the relevance of IDB Lab's mandate, strategic focus, and corporate setup. Its findings are presented in this report. A second phase of the evaluation, currently ongoing, evaluates IDB Lab operations. This is OVE's third independent corporate evaluation of the MIF requested by Donors.
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Avera, Will. MCM Relevance of Anomalous Bottom Electrical Properties. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada610005.

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