Browsing by Author "Baeza Yates, Ricardo"

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  • A data driven framework for mental health states assessment in social platforms
    Ramírez Cifuentes, Diana (Universitat Pompeu Fabra, 2022-07-29)
    The link between mental disorders and social media usage has led researchers to work on the development of automated methods to detect mental health issues in social platforms. This thesis proposes a framework for mental ...
  • A mobile application for displaying more accessible eBooks for people with dyslexia
    Rello, Luz, 1984-; Kanvinde, Gaurang; Baeza Yates, Ricardo (Elsevier, 2012)
    In this paper we present an ebook reader for Android, which displays ebooks in a more accessible way according to user needs. Since people with dyslexia represent a substantial group with a reading disability, we designed ...
  • A universal screening tool for dyslexia by a web-game and machine learning
    Rauschenberger, Maria; Baeza Yates, Ricardo; Rello, Luz, 1984- (Frontiers, 2022)
    Children with dyslexia have difficulties learning how to read and write. They are often diagnosed after they fail school even if dyslexia is not related to general intelligence. Early screening of dyslexia can prevent the ...
  • Analysis of the user queries of an e-commerce bookstore in terms of the Library of Congress classification and key publishers
    Nettleton, David F.; Baeza Yates, Ricardo; Marcos, Mari Carmen (University of Borås, 2013)
    Introduction. A key aspect of data mining and its success in extracting useful knowledge is the way in which the data is represented. In this paper we propose representing the relations inherent in an e-commerce bookstore ...
  • Biased behavior in web activities: from understanding to unbiased visual exploration
    Graells-Garrido, Eduardo (Universitat Pompeu Fabra, 2015-05-25)
    Las tendencias actuales en la Web apuntan hacia la personalización de contenido, lo que no sería un problema en un mundo uniforme y sin sesgos, pero nuestro mundo no es ni uniforme ni libre de sesgos. En esta tesis ...
  • Biases on social media data: (keynote extended abstract)
    Baeza Yates, Ricardo (ACM Association for Computer Machinery, 2020)
    Social media data is often used to pulse the opinion of online communities, either by predicting sentiment or stances (e.g., political), to mention just two typical use cases. However, those analysis assume that the data ...
  • Bots don’t vote, but they surely bother!: a study of anomalous accounts in a national referendum
    Graells-Garrido, Eduardo; Baeza Yates, Ricardo (ACM Association for Computer Machinery, 2022)
    The Web contains several social media platforms for exchange of ideas and content publishing. These platforms are used by people, but also by distributed agents known as bots. Bots have existed for decades, with many of ...
  • Burden of neurological diseases in the US revealed by web searches
    Baeza Yates, Ricardo; Mohan Sangal, Puneet; Villoslada, Pablo (Public Library of Science (PLoS), 2017)
    Background: Analyzing the disease-related web searches of Internet users provides insight into the interests of the general population as well as the healthcare industry, which can be used to shape health care policies. Methods: ...
  • Characterization of anorexia nervosa on social media: textual, visual, relational, behavioral, and demographical analysis
    Ramírez Cifuentes, Diana; Freire, Ana; Baeza Yates, Ricardo; Sanz Lamora, Nadia; Álvarez, Aida; González Rodríguez, Alexandre; Lozano Rochel, Meritxell; Llobet Vives, Roger; Velazquez, Diego Alejandro; Gonfaus, Josep Maria; Gonzàlez, Jordi (JMIR Publications, 2021)
    Background: Eating disorders are psychological conditions characterized by unhealthy eating habits. Anorexia nervosa (AN) is defined as the belief of being overweight despite being dangerously underweight. The psychological ...
  • Characterization of online groups along space, time, and social dimensions
    Martin, David; Aiello, Luca Maria; Grabowicz, Przemyslaw; Jaimes Larrarte, Alejandro; Baeza Yates, Ricardo (SpringerOpen, 2014)
    Social groups play a crucial role in online social media because they form the basis for user participation and engagement. Although widely studied in their static and evolutionary aspects, no much attention has been devoted ...
  • Characterizing and modeling web sessions with applications
    Chiarandini, Luca (Universitat Pompeu Fabra, 2014-10-13)
    This thesis focuses on the analysis and modeling of web sessions, groups of requests made by a single user for a single navigation purpose. Understanding how people browse through websites is important, helping us to ...
  • Detection of suicidal ideation on social media: multimodal, relational, and behavioral analysis
    Ramírez Cifuentes, Diana; Freire, Ana; Baeza Yates, Ricardo; Puntí, Joaquim; Medina Bravo, Pilar, 1966-; Alejandro Velazquez, Diego; Gonfaus, Josep Maria; Gonzàlez, Jordi (JMIR Publications, 2020)
    Background: Suicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited ...
  • DysWebxia : a text accessibility model for people with dyslexia
    Rello, Luz, 1984- (Universitat Pompeu Fabra, 2014-06-27)
    Worldwide, 10% of the population has dyslexia, a cognitive disability that reduces readability and comprehension of written information. The goal of this thesis is to make text more accessible for people with dyslexia by ...
  • DysWebxia: textos más accesibles para personas con dislexia.
    Rello, Luz, 1984-; Baeza Yates, Ricardo; Saggion, Horacio (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2013)
    Alrededor del 10% de la población mundial tiene dislexia, un trastorno de aprendizaje que afecta a las habilidades de lectoescritura. Aunque la dislexia tiene un origen neurológico, mediante ciertas modificaciones en los ...
  • Early screening of dyslexia using a language-independent content game and machine learning
    Rauschenberger, Maria (Universitat Pompeu Fabra, 2019-10-11)
    Els nens amb dislèxia tenen dificultats per aprendre a llegir i escriure. Sovint se'ls diagnostica després de fallar a l'escola, encara que la dislèxia no estigui relacionada amb la intel·ligència general. En aquesta tesi, ...
  • Enhanced word embedding variations for the detection of substance abuse and mental health issues on social media writings
    Ramírez Cifuentes, Diana; Largeron, Christine; Tissier, Julien; Baeza Yates, Ricardo; Freire, Ana (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Substance abuse and mental health issues are severe conditions that affect millions. Signs of certain conditions have been traced on social media through the analysis of posts. In this paper we analyze textual cues that ...
  • Enhanced word embeddings for anorexia nervosa detection on social media
    Ramíırez-Cifuentes, Diana; Largeron, Christine; Tissier, Julien; Freire, Ana; Baeza Yates, Ricardo (Springer, 2020)
    Anorexia Nervosa (AN) is a serious mental disorder that has been proved to be traceable on social media through the analysis of users’ written posts. Here we present an approach to generate word embeddings enhanced for ...
  • Exploiting implicit user activity for media recommendation
    Trevisiol, Michele (Universitat Pompeu Fabra, 2014-10-15)
    This thesis explores in depth how to use the user browsing behavior, and in particular the referrer URL, in order to understand the interest of the users. The aim is, first, to understand the preferences of the users from ...
  • FA*IR: a fair top-k ranking algorithm
    Zehlike, Meike; Bonchi, Francesco; Castillo, Carlos; Hajian, Sara; Megahed, Mohamed; Baeza Yates, Ricardo (ACM Association for Computer Machinery, 2017)
    In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n>>k candidates, maximizing utility (i.e., select the “best” candidates) subject ...
  • Finding relevant people in online social networks
    Sáez-Trumper, Diego (Universitat Pompeu Fabra, 2013-12-05)
    The objective of this thesis is to develop novel techniques to find relevant people in Online Social Networks (OSN). To that end, we consider different notions of relevance, taking the point of view of the OSN providers ...