Abstract: The dynamics of attention in social media tend to obey power laws. Attention concentrates on a relatively small number of popular items neglecting the vast majority of content produced by the crowd. Although popularity can be an indication of the perceived value of an item within its community, previous research has highlighted the gap…
Friday, November 9, 2018 Antonio Varas 880, Providencia, UNAB Session I – 9:00 – 10:30 – “Graphs and Query Languages” 9:00 – 9:30: Marcelo Arenas (Pontificia Universidad Católica de Chile), “G-CORE: Defining a Standard Query Language for Graphs”. 9:30 – 10:00: Juan Reutter (Pontificia Universidad Católica de Chile), “Graphs and Data on the Web” 10:00…
**Resumen:** En una innovadora serie de artículos, Craig Gentry propuso en 2009 el primer esquema de cifrado completamente homomórfico. En la primera variación del esquema, las claves secretas son bases de retículos ideales polinomiales, las cuales proporcionan estructuras algebraicas que pueden ser explotadas por un atacante. En esta charla, presentamos el problema de Aprendizaje Adaptativo…
ABSTRACT. Information Retrieval and Recommender Systems have been frequently evaluated using indexes based on variants and extensions of precision-like measures. Likewise, approaches for diversity evaluation have been proposed. However, these measures are usually defined in terms of a set of high level content descriptors known as \textit{information nuggets} that are hard to obtain. We propose…
ABSTRACT: Latent Dirichlet Allocation (LDA) is a fundamental method in the text mining field. We propose strategies for topic and model selection based on LDA that exploits the semantic coherence of the topics inferred, boosting the quality of the models found. Then we study how our boosted topic models perform in ad-hoc information retrieval tasks….
Invited by IMFD, Sheila McIlraith will be present at the 2018 Chilean Computer Congress. Sheila McIlraith is a Professor in the Department of Computer Science, University of Toronto. Prior to joining U of T in 2004, McIlraith spent six years as a Research Scientist at Stanford University, and one year at Xerox PARC. McIlraith is…
Promoting the entry of women into computing-related careers, as well as making their work and research in the field more visible, are some of the objectives of the VII Chile WIC “Chilean Meeting of Women in Computing,” an activity organized by Universidad Técnica Federico Santa María -through its Department of Informatics- together with Universidad de…
Abstract: In Latin America, shopping malls seem to offer and open, safe and democratic version of the public space. However, it is often difficult to quantitatively measure whether they indeed foster, hinder or are neutral with respect to social inclusion. In this talk we present that, by using mobile phone network records, we can provide…
Abstract: Many optimization problems are NP-hard and therefore we do not expect to find algorithms for them that are efficient, i.e., run in polynomial time, and find the optimal solution for any given instance. Therefore, we are interested in approximation algorithms which are algorithms that run in polynomial time and provably find solutions that differ…
Abstract: We usually assume that in a modern democracy people have access to basic civil, political, and social citizenship rights. Without such access, democratic agency becomes problematic. Based on data from the LAPOP survey, and working with more than 100,000 observations for the 2012-2016 period, Juan Pablo Luna and Rodrigo Medel analyzed Latin American citizens’…
Abstract: There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of sequences, or data series. Examples of such applications come from social media analytics and internet service providers, as well as from a multitude of scientific domains. It is not unusual…
Abstract: This talk will present three basic principles that govern the creation and diffusion of knowledge: the principle of experience, the principle of relatedness, and the principle of knowledge intensity. Building on these ideas, strategies and channels for knowledge diffusion will be discussed. Finally, tools for the integration, distribution, and visualization of large-scale data (datausa.io…
Abstract: The seminar will focus on the scientific and innovation activities of two projects currently underway at the University of Southampton (i) QROWD is an innovation action sponsored by the Horizon2020 programme focused on integrating humans into the Big Data value chain, particularly for the case of smart urban transportation. We will examine two tools…
Abstract: The data society we live in offers unprecedented opportunities to exploit available data. The goal of _data mining_ is precisely to extract useful information from available data and assist in e.g., decision-making or event-prediction. In doing so, available data usually contain sensitive information about individuals, and releasing even _aggregate_ information about a set of…
Abstract: The Gaussian process (GP) is a probabilistic model for functions. Unique advantages of the GP are its generality, the fact training and prediction can be performed analytically, and its ability to represent uncertainty. In this talk, we first present the concept of a generative model to introduce the probabilistic perspective to Machine Learning, then,…