Search results for "Information Retrieval"

showing 10 items of 924 documents

2021

In COVID-19 related infodemic, social media becomes a medium for wrongdoers to spread rumors, fake news, hoaxes, conspiracies, astroturf memes, clickbait, satire, smear campaigns, and other forms of deception. It puts a tremendous strain on society by damaging reputation, public trust, freedom of expression, journalism, justice, truth, and democracy. Therefore, it is of paramount importance to detect and contain unreliable information. Multiple techniques have been proposed to detect fake news propagation in tweets based on tweets content, propagation on the network of users, and the profile of the news generators. Generating human-like content allows deceiving content-based methods. Networ…

User profileBoosting (machine learning)Information retrievalGeneral Computer ScienceComputer sciencebusiness.industryDeep learningmedia_common.quotation_subjectNode (networking)Feature extractionGeneral EngineeringComplex networkBinary classificationGeneral Materials ScienceArtificial intelligenceElectrical and Electronic EngineeringbusinessReputationmedia_commonIEEE Access
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OLAP Personalization with User-Describing Profiles

2010

In this paper we have highlighted five existing approaches for introducing personalization in OLAP: preference constructors, dynamic personalization, visual OLAP, recommendations with user session analysis and recommendations with user profile analysis and have analyzed research papers within these directions. We have pointed out applicability of personalization to OLAP schema elements in these approaches. The comparative analysis has been made in order to highlight a certain personalization approach. A new method has been proposed, which provides exhaustive description of interaction between user and data warehouse, using the concept of Zachman Framework [1, 2], according to which a set of…

User profileData collectionInformation retrievalComputer scienceOnline analytical processingSchema (psychology)Zachman FrameworkData miningcomputer.software_genrecomputerData warehousePersonalization
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Extracting Features from Social Media Networks Using Semantics

2016

This paper focuses on the analysis of social media content generated by social networks (e.g. Twitter) in order to extract semantic features. By using text categorization to sort text feeds into categories of similar feeds, it has been proved to reduce the overhead that is required to retrieve these feeds and at the same time, it provides smaller pools in which further investigations can be made easier. The aim of this survey is to draw a user profile, by analysing his or her tweets. In this early stage of research, being a pre-processing phase, a dictionary based approach is considered. Moreover, the paper describes an algorithm used in analysing the text and its preliminary results. This …

User profileInformation retrievalComputer sciencebusiness.industrySemantic analysis (machine learning)Feature extractioncomputer.software_genreSemanticsSupport vector machinesortOverhead (computing)Social mediaArtificial intelligencebusinesscomputerNatural language processing
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WhoSNext: Recommending Twitter Users to Follow Using a Spreading Activation Network Based Approach

2020

The huge number of modern social network users has made the web a fertile ground for the growth and development of a plethora of recommender systems. To date, recommending a new user profile X to a given user U that could be interested in creating a relationship with X has been tackled using techniques based on content analysis, existing friendship relationships and other pieces of information coming from different social networks or websites. In this paper we propose a recommending architecture - called WhoSNext (WSN) - tested on Twitter and which aim is promoting the creation of new relationships among users. As recent researches show, this is an interesting recommendation problem: for a …

User profileInformation retrievalSocial networkbusiness.industryComputer sciencesocial networkingmedia_common.quotation_subjectTwitterKnowledge engineeringspreading activation network020207 software engineering02 engineering and technologyRecommender systemFriendshipContent analysis0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingData pre-processingRecommender systembusinessWireless sensor networksocial users recommendationmedia_common2020 International Conference on Data Mining Workshops (ICDMW)
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APPLICATION OF ADAPTIVE WAVELET NETWORKS FOR VIBRATION CONTROL OF BASE ISOLATED STRUCTURES

2010

Accepted version of an article from the journal: International Journal of Wavelets, Multiresolution & Information Processing. Official version article published as International Journal of Wavelets, Multiresolution & Information Processing, 2010 8(5), 773-791. doi: 10.1142/s0219691310003778 © World Scientific Publishing Company http:// http://www.worldscinet.com/ijwmip/ This paper presents an application of wavelet networks (WNs) in identification and control design for a class of structures equipped with a type of semiactive actuators, which are called magnetorheological (MR) dampers. The nonlinear model is identified based on a WN framework. Based on the technique of feedback linearizatio…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Information retrievalComputer scienceApplied MathematicsVDP::Technology: 500::Mechanical engineering: 570Vibration controlSystem identificationInformation processingBase (topology)Adaptive waveletWaveletControl theorySignal ProcessingScientific publishingInformation SystemsInternational Journal of Wavelets, Multiresolution and Information Processing
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An intelligent architecture for service provisioning in pervasive environments

2011

Accepted version of an article from the conference: 2011 International Symposium on Innovations in Intelligent Systems and Applications (INISTA). Definitive published version available from IEEE: http://dx.doi.org/10.1109/INISTA.2011.5946134 The vision of pervasive environments is being realized more than ever with the proliferation of services and computing resources located in our surrounding environments. Identifying those services that deserve the attention of the user is becoming an increasingly-challenging task. In this paper, we present an adaptive multi-criteria decision making mechanism for recommending relevant services to the mobile user. In this context Relevance is determined b…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Service (systems architecture)business.industrycomputer.internet_protocolComputer scienceMobile computing020206 networking & telecommunicationsContext (language use)02 engineering and technologyService-oriented architectureRecommender systemWorld Wide WebVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 5520202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRelevance (information retrieval)Mobile telephonyUser interfacebusinesscomputer
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Kayne's model of Case and Finnish nominal phrases

2008

The standard view concerning Case assignment or valuation is that Case is valued to determiner phrases (DPs) in syntax. Recently, Kayne has proposed an alternative model, in which Case is valued to lexical elements rather than to phrases. This article cites several facts from Finnish in support of this model. A detailed Kaynean model of Case is developed. According to this model, abstract Case is valued to lexical elements by the highest ranking c-commanding Case assigner when each phase (CP,vP) is sealed, where ranking is based on a particular Case Hierarchy and a simple notion of locality. Configurations in which Case is seemingly assigned under a spec–head relation are provided with an a…

Valuation (logic)Linguistics and LanguageInterpretation (logic)Syntax (programming languages)Computer scienceLocalityDeterminerCase hierarchyLanguage and LinguisticsNominalizationLinguisticsRanking (information retrieval)Nordic Journal of Linguistics
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Conceptualizing Online Discussion Value: A Multidimensional Framework for Analyzing User Comments on Mass-Media Websites

2013

This chapter provides a micro-framework for analyzing the quantity and quality of online user comments on mass-media websites. On one dimension, news factors of news items and discussion factors of existing user comments are assumed to indicate the relevance of participating in online discussions. On a second dimension, specific motivational, social, and design factors are influential when reconstructing users’ decisions to participate in online discussions and when analyzing the content of online user comments. The two dimensions in combination describe the discussion value of news items. Potential applications of this framework on other forms of interpersonal communication are discussed.

Value (ethics)Online discussionComputer sciencebusiness.industryCommunicationmedia_common.quotation_subject05 social sciences050801 communication & media studiesInterpersonal communication0506 political scienceWorld Wide Web0508 media and communications050602 political science & public administrationRelevance (information retrieval)Quality (business)Dimension (data warehouse)businessMass mediamedia_commonAnnals of the International Communication Association
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Perspectives on Relevance : the Relevance Test in the Constructive Research Approach

2017

Abstract Interventionist research (IVR), such as the constructive research approach (CRA), has been suggested as a method to improve the relevance of management accounting (MA) research. Although literature identifies several perspectives on relevance, the current assessment of CRA focuses on practical relevance. Moreover, an overreliance on pragmatism in assessing CRA research in the form of CRA market tests has been criticized. This article analyses the challenges inherent in conducting and assessing CRA research, both conceptually and with a CRA case example. In order to overcome these possible CRA challenges, we suggest analyzing CRA relevance from multiple perspectives. The perspective…

Value (ethics)PragmatismInformation Systems and Managementmedia_common.quotation_subjectmanagement accountingConstructive researchrelevanssiOrder (exchange)Accounting0502 economics and businessManagement accountingRelevance (information retrieval)relevanceta512constructive research approachmedia_commonManagement science05 social sciencesmetodologiasisäinen laskentatoimimethodology050201 accountingResearch processManagementTest (assessment)case researchPsychology050203 business & managementFinance
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Evaluation of the flavor-changing vertexb→s+Husing the Breitenlohner-Maison-'t Hooft-Veltmanγ5scheme

1990

We reevaluate the one-loop-induced flavor-changing vertex {ital b}(bottom){r arrow}{ital s}(strange)+{ital H}(Higgs boson) using the Breitenlohner--Maison--'t Hooft--Veltman {gamma}{sub 5} scheme. Our result agrees with the result of previous calculations that employed a naive anticommuting {gamma}{sub 5} if one consistently employs left-chiral fermion fields in the perturbation expansion.

Vertex (graph theory)PhysicsParticle physicsComputer Science::Information RetrievalHigh Energy Physics::LatticeHigh Energy Physics::PhenomenologyQuark modelHiggs bosonB mesonElementary particleFermionQuantum field theoryBosonPhysical Review D
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