Search results for "PROFILE"

showing 10 items of 915 documents

490P Metastatic colorectal cancer derived organoids recapitulate genomic profile and treatment response of the original tumor

2020

Treatment responseOncologybusiness.industryColorectal cancerGenomic ProfileOrganoidCancer researchMedicineHematologybusinessmedicine.diseaseAnnals of Oncology
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Análisis del comportamiento de la demanda de turismo rural desde la experiencia de la comarca El Alto Palancia

2004

This study is intended to delve into the tastes and preferences of tourists visiting rural areas in Spain as an alternative to the traditional sun and beach holiday that dominates Spanish tourism. This paper is focused on the demand side of rural tourism; more specifically the extent to which tourists visiting a Spanish rural area. El Alto Palancia region, exhibit different behaviours depending on age, gender, incomes and educational background. The homogeneity of behaviour across several categories of tourists was tested in two sets of variables. First, «interest in certain resources associated with rural tourism», focused on natural and architectural resources that sustains the tourist's …

Turismo ruralcomunidad valencianademandaGeography Planning and DevelopmentRural tourismlcsh:G1-922This study is intended to delve into the tastes and preferences of tourists visiting rural areas in Spain as an alternative to the traditional sun and beach holiday that dominates Spanish tourism. This paper is focused on the demand side of rural tourism; more specifically the extent to which tourists visiting a Spanish rural area. El Alto Palancia region exhibit different behaviours depending on age gender incomeTurisme ruralemore specifically the extent to which tourists visiting a Spanish rural area. El Alto Palancia regionEnvironmental protectionexhibit different behaviours depending on ageRegional sciencegenderdemandehomogénéitéEarth-Surface ProcessesprofileGeography (General)Demand sideperfilregion de Valenciamore specifically the extent to which tourists visiting a Spanish rural area. El Alto Palancia region exhibit different behaviours depending on age gender incomeGeographyincomeG1-922Turismo rural; comunidad valenciana; demanda; homogeneidad; perfil; Turisme rurale; region de Valencia; demande; homogénéité; profilehomogeneidadRural areaThis study is intended to delve into the tastes and preferences of tourists visiting rural areas in Spain as an alternative to the traditional sun and beach holiday that dominates Spanish tourism. This paper is focused on the demand side of rural tourismlcsh:Geography (General)Tourism
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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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A data-logging mechanism to support e-learning systems

2015

User profiling and e-learning have received great attention in the last years. In a learning environment, user profiling provides historical data of the students' performance on different learning subjects. e-Learning tools such as serious games can collect user's data and build a user profile by appropriate storing these information. Thus, by combining above techniques and analysing each user's data a teacher can provide personalized treatment to her/his students. In this paper we present our solution on storing and analysing user data on a centralized server. Our system stores data collected from users with dyslexia. We maintain one user profile per student from data taken from a) user re…

User profileMultimediaComputer scienceUser modelingLearning environmentDyslexiaComputer user satisfactionmedicine.diseasecomputer.software_genreUser interface designData loggermedicineProfiling (information science)computer2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)
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An approach for recommending personalized contents for homecare users in the context of health 2.0

2014

This paper proposes a content recommendation mechanism as part of a model for implementing ubiquitous learning for supporting people with chronic diseases who are treated at home, so that they can learn more about treatments for their disease. In the proposed approach, the learning takes place based on day-to-day activities and real situations. In this case, the model supports the development of tools that can learn about the user's context, based on data obtained via sensors installed on users or in their home, as well as data supplied directly by the user interface of their mobile devices, and data provided by the healthcare team, and, after that, recommend contents about their diseases.

User profileMultimediaComputer sciencebusiness.industryContext (language use)Ontology (information science)computer.software_genreWorld Wide WebHealth careUser interfacebusinessMobile devicecomputerUbiquitous learningProceedings of the 7th Euro American Conference on Telematics and Information Systems
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Near infrared spectroscopic study on the adsorption of methanol on silica gel

2013

Author's version of an article in the journal: Advanced Materials Research. Also available from the publisher at: http://dx.doi.org/10.4028/www.scientific.net/AMR.650.150 The silanol groups on Silica gel surface are sites for adsorption of polar molecules. Alcohols and other polar molecules are easily adsorbed by forming hydrogen bondings with OH groups on silica gel surface. A study on the adsorption of methanol on silica gel was carried out by using NIR spectroscopy in combination with ssecond derivative techniques. Four of the well characterised silica gel samples were used in this study. Each of the silica gel (0.25g) samples with different surface areas and silanol number was pressed i…

VDP::Mathematics and natural science: 400::Chemistry: 440Silica gelnear infrared spectroscopyVDP::Technology: 500::Chemical engineering: 560Near-infrared spectroscopyInorganic chemistryGeneral EngineeringAnalytical chemistryAdvanced materialssecond derivative profileschemistry.chemical_compoundAdsorptionchemistrysilanol groupsMethanolmethanol
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