Search results for "Retrieval"

showing 10 items of 1176 documents

Notice of Violation of IEEE Publication Principles: Enhanced P2P Services Providing Multimedia Content

2006

[This paper has been withdrawn by the publisher]Traditional peer-to-peer (P2P) services provide only basic searching facilities, based on unique identifiers or small sets of keywords. Unfortunately, this approach is very inadequate and inefficient when a huge amount of multimedia resources is shared. In this paper, we present an original image and video sharing system, in which a user is able to interactively search interesting resources by means of content-based image and video retrieval techniques. In order to limit the network traffic cost, maximizing the usefulness of each peer contacted in the query process, we also propose the adoption of an adaptive overlay routing algorithm, exploit…

Unique identifierNoticeMultimediaProcess (engineering)Computer scienceOrder (business)OverlayNetwork topologycomputer.software_genreImage retrievalcomputerImage (mathematics)Eighth IEEE International Symposium on Multimedia (ISM'06)
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Research Directions of OLAP Personalizaton

2011

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 provided an evaluation in order to point out (i) personalization options, described in these approaches, and its applicability to OLAP schema elements, aggregate functions, OLAP operations, (ii) the type of constraints (hard, soft or other), used in each approach, (iii) the methods for obtaining user preferences and collecting user information. The goal of our paper is to syst…

User informationWorld Wide WebInformation retrievalUser profileComputer scienceSchema (psychology)Online analytical processingInformationSystems_DATABASEMANAGEMENTData warehousePersonalization
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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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A Taxonomy as a Vehicle for Learning

2009

In this article, we describe the development of a classification system providing a framework for analysis of, and communication about, a subgroup of learning objects. The objects we consider are highly visual, animated, interactive, and mathematics-related, and we call them VaniMaps. Secondly, we discuss the use of the system. In the first phase, the development was based on literature studies and discussions on examples of VaniMaps. In the second phase, the classification system was tested by students and their responses were analyzed to identify possible improvements. Now, the system is developed further based on experience gained while using it for different purposes. We see several pos…

VDP::Technology: 500::Information and communication technology: 550VDP::Social science: 200::Library and information science: 320::Knowledge retrieval and organization: 323VDP::Social science: 200::Education: 280
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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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