Search results for "PROFILE"

showing 10 items of 915 documents

User profile matching in social networks

2010

International audience; Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrichment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) w…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Matching (statistics)Computer science[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySimilarity measurecomputer.software_genreElectronic mail[SCCO.COMP] Cognitive science/Computer science020204 information systemsFOAF0202 electrical engineering electronic engineering information engineeringPattern matchingUser profileSocial networkbusiness.industrycomputer.file_formatProfile MatchingSocial Networks[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processingData mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businesscomputerData integration
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Semantic User Profiling for Digital Advertising

2015

International audience; With the emergence of real-time distribution of online advertising space (“real-time bidding”), user profiling from web navigation traces becomes crucial. Indeed, it allows online advertisers to target customers without interfering with their activities. Current techniques apply traditional methods as statistics and machine learning, but suffer from their limitations. As an answer, the proposed approach aims to develop and evaluate a semantic-based user profiling system for digital advertising.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Data AnalysisBig DataACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services[ INFO ] Computer Science [cs]OntologyACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and IndexingACM : H.: Information SystemsUser ProfilingACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONSReasoningACM : H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.5: User profiles and alert servicesACM: H.: Information SystemsInferenceACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services[INFO]Computer Science [cs]Logical Rules[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and IndexingSWRLACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.5: User profiles and alert servicesSemantic Web
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Customizing Semantic Profiling for Digital Advertising

2014

International audience; Personalization is the new magic buzzword of application development. To make the complexity of today's application functionalities and information spaces "digestible", customization has become the new go-to technique. But while those technologies aim to ease the consumption of media for their users, they suffer from the same problematic: in the age of Big Data, applications have to cope with a conundrum of heterogeneous information sources that have to be perceived, processed and interpreted. Researchers tend to aim for a maximum degree of integration to create the perfect, all-embracing personalization. The results are wide-range, but overly complex systems that su…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO ] Computer Science [cs]Computer scienceBig dataComplex systemsemantic technologies02 engineering and technology[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Personalization[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide Web020204 information systems0202 electrical engineering electronic engineering information engineeringProfiling (information science)Heterogeneous information[ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL][INFO]Computer Science [cs]user profiles[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OWLuser profilingbusiness.industryScalabilitySemantic technology020201 artificial intelligence & image processingbusinessDigital advertisingcustomization
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Ontology-based Integration of Web Navigation for Dynamic User Profiling

2015

The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an industrial actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification o…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]lcsh:Computer engineering. Computer hardware[ INFO ] Computer Science [cs]Knowledge representation and reasoningComputer scienceSemantic Web Ontologies SWRL Big Data reasoningBig datalcsh:TK7885-789502 engineering and technologyOntology (information science)[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Big Data reasoningWorld Wide WebKnowledge extraction020204 information systems0202 electrical engineering electronic engineering information engineeringOntologiesWeb navigation[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebSWRLSemantic WebUser profilebusiness.industrylcsh:Zlcsh:Bibliography. Library science. Information resourcesSemantic technology020201 artificial intelligence & image processingbusiness
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PROFILE REFINEMENT IN ONTOLOGY-BASED RECOMMANDER SYSTEMS FOR ECONOMICAL E-NEWS

2014

International audience; This paper is interested in a recommender system of economic news articles. More precisely, it focuses on automatic profile refinement of customers which is an important task over time by taken into account logs of the user concerning especially his/her actions, reading time, and domain specific knowledge. In our approach, ontologies are used to describe and automatically refine these profiles. This work focuses on one particular type of recommender systems which is content-based recommenders. The aim of these recommender systems is to build a user profile and to improve its precision over time. Several improvements that have been made to these recommender systems ov…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]recommender system[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]profile refinement[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Semantic web.[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]e-newsontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Upper limit on the cosmic-ray photon fraction at EeV energies from the Pierre Auger Observatory

2009

From direct observations of the longitudinal development of ultra-high energy air showers performed with the Pierre Auger Observatory, upper limits of 3.8%, 2.4%, 3.5% and 11.7% (at 95% c.l.) are obtained on the fraction of cosmic-ray photons above 2, 3, 5 and 10 EeV (1 EeV equivalent to 10(18) eV), respectively. These are the first experimental limits on ultra-high energy photons at energies below 10 EeV. The results complement previous constraints on top-down models from array data and they reduce systematic uncertainties in the interpretation of shower data in terms of primary flux, nuclear composition and proton-air cross-section.

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]PhotonAstronomyFOS: Physical sciencesFluxCosmic rayFotonesAstrophysicsEXTENSIVE AIR-SHOWERS01 natural sciences7. Clean energyNuclear physicsCascada atmosféricaUltra high energy (UHE)0103 physical sciencesLimit (mathematics)FLUORESCENCEUltra-high energy cosmic ray010303 astronomy & astrophysicsDETECTORCosmic raysCiencias ExactasHigh Energy Astrophysical Phenomena (astro-ph.HE)Pierre Auger ObservatoryPhysics010308 nuclear & particles physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]FísicaAstronomy and AstrophysicsPierre Auger ObservatoryPROFILESRadiación cósmicaPhotonLongitudinal development13. Climate actionphoton fractionComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAstrophysics - High Energy Astrophysical Phenomena
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Atmospheric effects on extensive air showers observed with the Surface Detector of the Pierre Auger Observatory

2009

Atmospheric parameters, such as pressure (P), temperature (T) and density (ρ ∝ P/T), affect the development of extensive air showers initiated by energetic cosmic rays. We have studied the impact of atmospheric variations on extensive air showers by means of the surface detector of the Pierre Auger Observatory. The rate of events shows a ∼ 10% seasonal modulation and ∼ 2% diurnal one. We find that the observed behaviour is explained by a model including the effects associated with the variations of P and ρ. The former affects the longitudinal development of air showers while the latter influences the Molière radius and hence the lateral distribution of the shower particles. The model is val…

[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]: 96.50.sdRadiación CósmicaIMPACTAstronomyExtensive air showerFOS: Physical sciencesCosmic rayAstrophysicsExtensive air showers; UHECR; Atmosphere; Weather01 natural sciencesCOSMIC-RAY CASCADESAugerAtmosphereENERGYObservatory0103 physical sciencesExtensive air showersRECONSTRUCTION96.50.sf010303 astronomy & astrophysicsMolière radiusWeatherInstrumentation and Methods for Astrophysics (astro-ph.IM)96.50.sbPierre Auger ObservatoryPhysics010308 nuclear & particles physicsAtmosphereUHECRDetectorFísicaAstronomy and AstrophysicsPresión AtmosféricaPROFILES[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Longitudinal developmentATMOSFERA (ESTUDO)13. Climate actionExperimental High Energy PhysicsSIMULATIONComputingMethodologies_DOCUMENTANDTEXTPROCESSINGClimaAstrophysics - Instrumentation and Methods for Astrophysics
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Collisional effects on spectral line shape from the Doppler to the collisional regime: A rigorous test of a unified model

2000

International audience; The paper presents high resolution Raman investigations of the Q(1) line of H-2 in Ar mixture from low density (Doppler regime) to high density (collisional regime) analyzed with a unique line shape profile. Measurements are performed by stimulated Raman gain spectroscopy between 300 and 1000 K in a wide density range (from 0.2 to 11 amagat). All the observed spectral features are accurately described by a unified model recently proposed by two of the authors. This model accounts for a velocity-memory process, not restricted to the usual hard and soft limits. It also includes correlation between velocity- and phase-changing collisions. An exhaustive analysis of vario…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]SPEED-CHANGING COLLISIONSHEGeneral Physics and AstronomyTRANSITIONS02 engineering and technology01 natural sciencesPARAMETERSsymbols.namesake0103 physical sciencesRange (statistics)SHIFTPhysical and Theoretical Chemistry010306 general physicsSpectroscopyLine (formation)[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]ChemistryWIDTHUnified ModelPROFILES021001 nanoscience & nanotechnologyAmagatN-2Spectral line shapeLINESHAPEsymbolsAtomic physics0210 nano-technologyRaman spectroscopyDoppler effect
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H-2 vibrational spectral signatures in binary and ternary mixtures: theoretical model, simulation and application to CARS thermometry in high pressur…

2001

International audience; A summary of the main results obtained by the two groups in the field of H-2 vibrational spectral line signatures for various mixtures. in connection with CARS diagnostics of H-2-O-2 combustion systems, is presented. H-2-X Systems may have specific large inhomogeneous spectral features, due to the dependence of the line broadening and line shifting on the (H-2) radiator speed, particularly at high temperature. Thus, careful attention has to be paid to rigorously analyze such features, both from the experimental point of view (Dijon) and from the theoretical one (Besancon). Applications of the present results to high-pressure H-2/air flame thermometry are also briefly…

[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics]line shapeMaterials scienceSPEED-CHANGING COLLISIONSField (physics)REGIMEGeneral Physics and Astronomydiagnostic02 engineering and technologyCombustionLINE-PROFILES01 natural sciencesTemperature measurementSpectral lineOpticsDEPENDENCETEMPERATURES0103 physical sciences010306 general physicsRamanLine (formation)[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Spectral signature[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]business.industry021001 nanoscience & nanotechnologymolecular dynamicsComputational physicsDOPPLERRadiator (engine cooling)SHAPE0210 nano-technologybusinessTernary operationcollisioncombustion
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Kerr Beam Self-Cleaning in Multimode Fibers

2018

We overview recent experimental results of beam self-cleaning observed in various types of multimode fibers. We analyze the output spatial beam shapes and their connection with the refractive index profile of the fibers.

[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Materials scienceMulti-mode optical fiberbusiness.industrymultimode fibers; Kerr effect; optical instabilitiesPhysics::Optics02 engineering and technologyRefractive index profile021001 nanoscience & nanotechnology01 natural sciencesoptical instabilitiesmultimode fibersConnection (mathematics)010309 opticsOpticsKerr effectSelf cleaning0103 physical sciencesPhysics::Accelerator PhysicsBeam shaping0210 nano-technologybusinessRefractive indexBeam (structure)ComputingMilieux_MISCELLANEOUS
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