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Auswahl der wissenschaftlichen Literatur zum Thema „Contenu généré par les utilisateur“
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Zeitschriftenartikel zum Thema "Contenu généré par les utilisateur"
Gautier, Pierre-Yves. „Le contenu généré par l'utilisateur“. LEGICOM 41, Nr. 1 (2008): 7. http://dx.doi.org/10.3917/legi.041.0007.
Der volle Inhalt der QuelleVincent, Claude, Rhoda Weiss-Lambrou und Ron Levy. „Le processus d attribution des aides techniques: La perception des obstacles selon la perspective des ergothérapeutes.“ Canadian Journal of Occupational Therapy 62, Nr. 2 (Juni 1995): 82–94. http://dx.doi.org/10.1177/000841749506200206.
Der volle Inhalt der QuelleLeclaire, A., und A. Fall. „Exposition par réalité virtuelle : une approche plus sereine pour nos patients ?“ European Psychiatry 30, S2 (November 2015): S115. http://dx.doi.org/10.1016/j.eurpsy.2015.09.220.
Der volle Inhalt der QuelleWidmer, Sarah. „Navigations sur mesure? Usages d’applications smartphone en ville de New York“. Géo-Regards 7, Nr. 1 (2014): 55–71. http://dx.doi.org/10.33055/georegards.2014.007.01.55.
Der volle Inhalt der QuelleNaji, Khadija, und Abdelali Ibriz. „Approach for Eliciting Learners' Preferences in Moocs Through Collaborative Filtering“. International Journal of Emerging Technologies in Learning (iJET) 17, Nr. 14 (26.07.2022): 235–45. http://dx.doi.org/10.3991/ijet.v17i14.29887.
Der volle Inhalt der QuelleRoten, Claude-Alain, Serge Nicollerat, Lionel Pousaz und Guy Genilloud. „Détecter par stylométrie la fraude académique utilisant ChatGPT“. Cahiers IRAFPA 1, Nr. 1 (14.07.2023): 1–11. http://dx.doi.org/10.56240/irafpa.cm.v1n1/rot.
Der volle Inhalt der QuelleFreire Smith, Marla, und David G. Miranda. „Los muros del estallido social chileno. Disputando el espacio público desde las prácticas de artivismo“. Sociétés 161, Nr. 3 (06.11.2023): 39–63. http://dx.doi.org/10.3917/soc.161.0039.
Der volle Inhalt der QuelleDlugos, Kayla V., Kateryna Maksyutynska, Luke T. Kyne, Tianna Costa und Tony P. George. „Peer-administered Naloxone for Preventing Opioid Overdose: A Scoping Review“. Canadian Journal of Addiction 15, Nr. 1 (März 2024): 37–49. http://dx.doi.org/10.1097/cxa.0000000000000202.
Der volle Inhalt der QuelleYeh, Ellen, und Nicholas Swinehart. „Social Media for Social Inclusion: Barriers to Participation in Target-Language Online Communities“. TESL Canada Journal 36, Nr. 3 (30.12.2019): 154–72. http://dx.doi.org/10.18806/tesl.v36i3.1325.
Der volle Inhalt der QuellePerreault, Charles. „Les rapports collectifs de travail dans les secteurs publics et para-publics au Québec – Quelques paradoxes“. Commentaires 29, Nr. 4 (12.04.2005): 840–45. http://dx.doi.org/10.7202/028558ar.
Der volle Inhalt der QuelleDissertationen zum Thema "Contenu généré par les utilisateur"
Meng, Zide. „Analyse temporelle et sémantique des réseaux sociaux typés à partir du contenu de sites généré par des utilisateurs sur le Web“. Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4090/document.
Der volle Inhalt der QuelleWe propose an approach to detect topics, overlapping communities of interest, expertise, trends andactivities in user-generated content sites and in particular in question-answering forums such asStackOverFlow. We first describe QASM (Question & Answer Social Media), a system based on socialnetwork analysis to manage the two main resources in question-answering sites: users and contents. Wealso introduce the QASM vocabulary used to formalize both the level of interest and the expertise ofusers on topics. We then propose an efficient approach to detect communities of interest. It relies onanother method to enrich questions with a more general tag when needed. We compared threedetection methods on a dataset extracted from the popular Q&A site StackOverflow. Our method basedon topic modeling and user membership assignment is shown to be much simpler and faster whilepreserving the quality of the detection. We then propose an additional method to automatically generatea label for a detected topic by analyzing the meaning and links of its bag of words. We conduct a userstudy to compare different algorithms to choose the label. Finally we extend our probabilistic graphicalmodel to jointly model topics, expertise, activities and trends. We performed experiments with realworlddata to confirm the effectiveness of our joint model, studying the users’ behaviors and topicsdynamics
Karoui, Jihen. „Détection automatique de l'ironie dans les contenus générés par les utilisateurs“. Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30145/document.
Der volle Inhalt der QuelleThis thesis aims to detect figurative language devices in social networks. We focus in particular on irony and sarcasm in Twitter and propose an approach based on supervised learning to predict if a tweet is ironic or not. This required three steps: (1) Analyze the pragmatic phenomena of irony and a multi-level annotation of a corpus of reference, (2) Development of an automatic detection system for French tweets that exploits both semantic features and the extra-linguistic context, (3) Study of the portability of the model to detect irony in a multilingual setting (Italian, English and Arabic). The obtained results for this extremely complex task are very encouraging and will allow a significant improvement of polarity detection in sentiments analysis
Laurie, Trudel. „Citoyens aux commandes des médias québécois: L'intégration des contenus générés par les usagers sur les sites web de médias télévisuels du Québec“. Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32243.
Der volle Inhalt der QuelleEl, Aouad Sara. „Personalized, Aspect-based Summarization of Movie Reviews“. Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS019.pdf.
Der volle Inhalt der QuelleOnline reviewing websites help users decide what to buy or places to go. These platforms allow users to express their opinions using numerical ratings as well as textual comments. The numerical ratings give a coarse idea of the service. On the other hand, textual comments give full details which is tedious for users to read. In this dissertation, we develop novel methods and algorithms to generate personalized, aspect-based summaries of movie reviews for a given user. The first problem we tackle is extracting a set of related words to an aspect from movie reviews. Our evaluation shows that our method is able to extract even unpopular terms that represent an aspect, such as compound terms or abbreviations, as opposed to the methods from the related work. We then study the problem of annotating sentences with aspects, and propose a new method that annotates sentences based on a similarity between the aspect signature and the terms in the sentence. The third problem we tackle is the generation of personalized, aspect-based summaries. We propose an optimization algorithm to maximize the coverage of the aspects the user is interested in and the representativeness of sentences in the summary subject to a length and similarity constraints. Finally, we perform three user studies that show that the approach we propose outperforms the state of art method for generating summaries
Badache, Ismail. „Recherche d'information sociale : exploitation des signaux sociaux pour améliorer la recherche d'information“. Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30038/document.
Der volle Inhalt der QuelleOur work is in the context of social information retrieval (SIR) and focuses on the exploitation of user-generated content in the process of seeking information. The Usergenerated content, or UGC, refers to a set of data (eg. social signals) whose content is mainly produced either directly influenced by end users. It is opposed to the traditional content produced, sold or distributed by professionals. The term became popular since 2005, in the Web 2.0 environments and in new social media. This movement reflects the democratization of the means of production and interaction in the web thanks to new technologies. Among these means more and more accessible to a wide public, we can cite social networks, blogs, microblogs, wikis, etc. The majority of information retrieval (IR) systems exploit two classes of features to rank documents in response to user's query. The first class, the most used one, is querydependent, which includes features corresponding to particular statistics of query terms such as term frequency, and term distribution within a document or in the collection of documents. The second class, referred to as documents prior, corresponds to queryindependent features such as the number of incoming links to a document, PageRank, topical locality, presence of URL, document authors, etc. One of the important sources which can also be used to measure the a priori interest of Web resources is social data (signals) associated with Web resource resulting from user interaction with this resource. These interactions representing annotations, comments or votes, produce useful and interesting social information that characterizes a resource in terms of popularity and reputation. Major search engines integrate social signals (e.g. Google, Bing). Searchmetrics1 showed that it exists a high correlation between social signals and the rankings provided by search engines such Google. We propose an approach that exploits social signals generated by users on the resources to estimate a priori relevance of a resource. This a priori knowledge is combined with topical relevance modeled by a language modeling (LM) approach. We also hypothesize that signals are time-dependent, the date when the user action has happened is important to distinguish between recent and old signals. Therefore, we assume that the recency of signals may indicate some recent interests to the resource, which may improve the a priori relevance of document. Secondly, number of signals of a resource depends on the resource age. Generally, an old resource may have much more signals than a recent one. We introduce the time-aware social approach that incorporates temporal characteristics of users' actions as prior in the retrieval model. Precisely, instead of assuming uniform document priors in this retrieval model, we assign document priors based on the signals associated to that document biased by both the creation date of the signals and the age of the document
Bacha, Firas. „Une approche MDA pour l'intégration de la personnalisation du contenu dans la conception et la génération des applications interactives“. Phd thesis, Université de Valenciennes et du Hainaut-Cambresis, 2013. http://tel.archives-ouvertes.fr/tel-00874766.
Der volle Inhalt der QuelleLe, Ngoc Luyen. „French language DRS parsing“. Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2020. http://www.theses.fr/2020IMTA0202.
Der volle Inhalt der QuelleIn the rise of the internet, user-generated content from social networking services is becoming a giant source of information that can be useful to businesses on the aspect where users are viewed as customers or potential customers for companies. Exploitation of user-generated texts can help identify their feelings, intentions, or reduce the effort of the agents who are responsible for collecting or receiving information on social networking services. As part of this thesis, the content of texts such as speeches, statements, conversations from interactive communication on social media platforms become the main data object of our study. We deepen an analysis of structures and components of sentences in texts on the basis of Combinatory Categorial Grammar (CCG) and the Discourse Representation Structure (DRS). We propose a method for extracting a CCG tree from the dependency structure of the sentence, and a general architecture to build a bridge of relationship between syntaxes and semantics of French sentences. As a result, our study achieves representations of natural language texts in a new form of first order logic or the box of DRS
Jones, Laura. „Die urheberrechtliche Haftung von Intermediären im Rechtsvergleich“. Electronic Thesis or Diss., Paris 1, 2019. http://www.theses.fr/2019PA01D023.
Der volle Inhalt der QuellePrimary infringers of copyright often remain anonymous on the Internet. Hence, copyright holders have turned their focus towards intermediaries in order to obtain the blockage of infringing content or damages. There is, however, not one single legal basis for their claims. "Intermediaries' liability" rather consists of different provisions, some at international or European, some at national level. This thesis shows that the legal regime of intermediaries' liability consists of three main pillars: primary liability for communicating a work to the public (art. 3 of the lnfosoc-Directive), secondary liability for violating a duty of care (national law) and (blocking) injunctions (art. 8 § 3 of the Infosoc-Directive). Their interpretation by the CJEU and their national implementations are, however, not adapted to one another. After examining the legal regimes in the European Union, France, Germany and the United Kingdom, the present thesis thus suggests a restructured system following an economic approach. It focusses on the intermediary's proximity to the primary infringement. Platforms that build their operating principles upon illegal actions of their users and exploit these infringements are close enough to the illegal contents. Their actions are hence considered a communication to the public. Intermediaries that operate desirable business models can, on the other hand, only violate copyright on a secondary level by infringing duties of care. These duties typically arise within a "notice and take down" or "notice and action" procedure. Thirdly, intermediaries that merely provide the Internet infrastructure can only be held accountable by the means of injunctions
Charbonneau, Olivier. „La jurisprudence en accès libre à l'ère du contenu généré par les usagers“. Thèse, 2008. http://hdl.handle.net/1866/6121.
Der volle Inhalt der QuelleUser generated content and collaboration, also called « Web 2.0 », offer new possibilities in the context of a thriving and open Internet. Digital environments that employ these production mecanisms allow user communities to enrich a virtual space. Using a constructivist approach, we explore how collaboration can serve the users of an open access database of court rulings, namely the Canadian Legal Information Institute's website (www.CanLU.org). Collaboration is set within a framework that we name the « Collaboration Framework ». There are two classes of objects, users and documents, that interact following four relationships: links between documents, exchanges between users, writing (from users to documents) and consumption (from documents to users). In turn, we can better understand how collaboration functions, given a specific class of documents. Following an analysis of court rulings as a system of documents and an illustration of user needs in civil society, the Collaboration Framework is applied to an open access database of court rulings in order to determine how users can enrich the system's content.
Charbonneau, Olivier. „La jurisprudence en accès libre à l’ère du contenu généré par les usagers“. Thesis, 2008. http://spectrum.library.concordia.ca/6392/1/OCharbonneauLLM%2DJgmtWeb2.pdf.
Der volle Inhalt der QuelleBücher zum Thema "Contenu généré par les utilisateur"
Nutzergenerierte Inhalte als Gegenstand des Privatrechts: Aktuelle Probleme des Web 2.0. Heidelberg: Springer, 2010.
Den vollen Inhalt der Quelle findenKlass, Nadine, Henning Große Ruse-Khan und Silke von Lewinski. Nutzergenerierte Inhalte Als Gegenstand des Privatrechts: Aktuelle Probleme des Web 2. 0. Springer, 2010.
Den vollen Inhalt der Quelle findenKonferenzberichte zum Thema "Contenu généré par les utilisateur"
Catros, S., M. Fenelon, A. Rui, K. Ross, D. Marcio, B. Angel, M. D. S. Luis et al. „Création d’un site internet Européen de formation au sevrage tabagique“. In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206603002.
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