Learning browsing patterns for context-aware recommendation

The success of personal information agents depends on their capacity to both identify relevant information for users and proactively recommend context-relevant information. In this paper, we propose an approach to enable proactive context-aware recommendation based on the knowledge of both user interests and browsing patterns. The pro- posed approach analyzes the browsing behavior of users to derive a semantically enhanced context that points out the information which is likely to be relevant for a user according to its current activities.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1Red de Universidades con Carreras en Informática (RedUNCI

Redes Bayesianas para detección de roles de equipos en aprendizaje colaborativo soportado por computadoras

El trabajo colaborativo soportado por computadoras permite a los estudiantes que se encuentran en lugares remotos trabajar de manera conjunta en el mismo entorno virtual y permite la comunicación de ideas e información entre los integrantes del grupo. Sin embargo, como no todos los estudiantes son iguales, es importante estudiar las características de éstos para construir grupos de trabajo más productivos. La teoría de roles de equipo posibilita obtener buen desempeño en los equipos de trabajo considerando habilidades individuales, combinando las falencias de cada rol con las fortalezas de los otros. Generalmente, las personas tienen que completar extensos cuestionarios para poder determinar sus roles de equipo. En este trabajo, se propone un método alternativo para realizar esta detección a través de un sistema de aprendizaje colaborativo y a partir de la utilización de la técnica de Redes Bayesianas.Computer-supported collaborative learning allows students who are in different places to work together in the same virtual space, and supports the communication of ideas and information among learners. However, as not all students are identical, it is important to study users' characteristics to build more productive teams. Team Roles Theory allows obtaining very good team performance taking into account individual skills, combining the weaknesses of each role with the strengths of others. Originally, people have to complete extensive questionnaires to determine their team role. In this work we propose an alternative method to make this detection through a collaborative learning system and by using a Bayesian Network.Fil: Balmaceda, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentin

¿A qué te podés acostumbrar?

Los medios de comunicación son productores privilegiados de representaciones colectivas, y, en tanto tales, tienen una responsabilidad ineludible en la construcción de las condiciones de posibilidad de un orden social en el que cada dieciocho horas un hijo sano del patriarcado mata lo que considera su propiedad: esos sentidos definen lo que resulta tolerable, y se materializan en cada manifestación de violencia y en las prácticas de quienes tienen la obligación de prevenirla y erradicarla. Entre los crímenes de Micaela y Araceli y la celebración de los “piropos” del actual mandatario argentino, que sostiene que “no” quiere decir “sí”, la conformación de la trama invisible que sustenta la trama visible de cada nuevo feminicidio.Facultad de Periodismo y Comunicación Socia

What Butler left us :: Each time and always an ethical and political concern

En este artículo se propone mostrar la constante inquietud ética y política presente en toda la obra de Judith Butler, hilvanando temas recurrentes en su producción y en los debates en torno a la performatividad y al género, al problema de la identidad, a la corporalidad y al poder como discurso. Para sustentar la continuidad de este aspecto ético político, se presentan las implicancias de ciertos ejes que se retoman y se profundizan en distintos momentos de la obra de esta pensadora. Además, se tematizan malentendidos recurrentes en torno a algunos de sus profundos cuestionamientos filosóficos, que fueron abordados en ocasión de una entrevista concedida a la autora en los meses previos a la visita de Butler a la Argentina, en septiembre de 2015, y en las conferencias que ofreció en la Universidad de Buenos Aires y en la Universidad de Tres de Febrero.This article attempts to demonstrate the presence of a constant ethical and political concern throughout Judith Butler’s work, by relating recurrent topics from her production and discussions about performativity and gender, the identity problem, the body and power as discourse. To maintain the continuity of this ethical and political angle, implications of certain issues that are revisited and deepened in different moments of this Philosopher’s work are displayed. Besides, and based on an interview with the authoress that took place before Butler’s visit to Argentina, in September 2015, and some of the issues the Philosopher addressed to during the conferences she gave at the Universidad de Buenos Aires and the Universidad de Tres de Febrero, the article thematizes recurrent misunderstandings around some of Butler deepest philosophical questions.Facultad de Periodismo y Comunicación Socia

Generating user profiles for information agents

The advent of the World Wide Web and its constant growing have transformed the search for information into a time-consuming task. Intelligent information agents have emerged as a solution to this problem. These agents learn users’ interests and model them into user profiles in order to assist users by discovering, retrieving and summarizing information on behalf of them. This work is focused on the construction of user profiles for information agents starting from observation of users’ readings and behavior in the Web. Existing approaches have attacked partially this problem, treating the user profiling task either as a classification problem from the machine learning point of view or as a pure keywords analysis problem from the information retrieval point of view. However, user profiling embrace a number of additional aspects that are not currently addressed in these approaches, such as modeling topic of interest with different levels of abstraction or modeling of contextual information about topics. In this work we propose a user profiling technique to be used in the development of intelligent information agents that deal with these aspects.Eje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI

What Butler left us :: Each time and always an ethical and political concern

En este artículo se propone mostrar la constante inquietud ética y política presente en toda la obra de Judith Butler, hilvanando temas recurrentes en su producción y en los debates en torno a la performatividad y al género, al problema de la identidad, a la corporalidad y al poder como discurso. Para sustentar la continuidad de este aspecto ético político, se presentan las implicancias de ciertos ejes que se retoman y se profundizan en distintos momentos de la obra de esta pensadora. Además, se tematizan malentendidos recurrentes en torno a algunos de sus profundos cuestionamientos filosóficos, que fueron abordados en ocasión de una entrevista concedida a la autora en los meses previos a la visita de Butler a la Argentina, en septiembre de 2015, y en las conferencias que ofreció en la Universidad de Buenos Aires y en la Universidad de Tres de Febrero.This article attempts to demonstrate the presence of a constant ethical and political concern throughout Judith Butler’s work, by relating recurrent topics from her production and discussions about performativity and gender, the identity problem, the body and power as discourse. To maintain the continuity of this ethical and political angle, implications of certain issues that are revisited and deepened in different moments of this Philosopher’s work are displayed. Besides, and based on an interview with the authoress that took place before Butler’s visit to Argentina, in September 2015, and some of the issues the Philosopher addressed to during the conferences she gave at the Universidad de Buenos Aires and the Universidad de Tres de Febrero, the article thematizes recurrent misunderstandings around some of Butler deepest philosophical questions.Facultad de Periodismo y Comunicación Socia

Features for Detecting Aggression in Social Media: An Exploratory Study

Cyberbullying and cyberaggression are serious and widespread issues increasingly affecting Internet users. With the “help" of the widespread of social media networks, bullying once limited to particular places or times of the day, can now occur anytime and anywhere. Cyberaggression refers to aggressive online behaviour intending to cause harm to another person, involving rude, insulting, offensive, teasing or demoralising comments through online social media. Considering the gravity of the consequences that cyberaggression has on its victims and its rapid spread amongst internet users (specially kids and teens), there is an imperious need for research aiming at understanding how cyberbullying occurs, in order to prevent it from escalating. Given the massive information overload on the Web, it is crucial to develop intelligent techniques to automatically detect harmful content, which would allow the large-scale social media monitoring and early detection of undesired situations. Considering the challenges posed by the characteristics of social media content and the cyberaggression task, this paper focuses on the detection of aggressive content in the context of multiple social media sites by exploring diverse types of features. Experimental evaluation conducted on two real-world social media dataset showed the difficulty of the task, confirming the limitations of traditionally used features.Sociedad Argentina de Informática e Investigación Operativ

A study of neighbour selection strategies for POI recommendation in LBSNs

Location-based Recommender Systems (LBRSs) are gaining importance with the proliferation of location-based services provided by mobile devices as well as user-generated content in social networks. Collaborative approaches for recommendation rely on the opinions of liked-minded people, so called neighbors, for prediction. Thus, an adequate selection of such neighbors becomes essential for achieving good prediction results. The aim of this work is to explore different strategies to select neighbors in the context of a collaborative filtering based recommender system for POI (places of interest) recommendations. Whereas standard methods are based on user similarity to delimit a neighborhood, in this work several strategies are proposed based on direct social relationships and geographical information extracted from Location-based Social Networks (LBSNs). The impact of the different strategies proposed has been evaluated and compared against the traditional collaborative filtering approach using a dataset from a popular network as Foursquare. In general terms, the proposed strategies for selecting neighbors based on the different elements available in a LBSN achieve better results than the traditional collaborative filtering approach. Our findings can be helpful both to researchers in the recommender systems area as well as to recommender systems developers in the context of LBSNs, since they can take into account our results to design and provide more effective services considering the huge amount of knowledge produced in LBSNs.Fil: Rios, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; ArgentinaFil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentin

Learning browsing patterns for context-aware recommendation

The success of personal information agents depends on their capacity to both identify relevant information for users and proactively recommend context-relevant information. In this paper, we propose an approach to enable proactive context-aware recommendation based on the knowledge of both user interests and browsing patterns. The pro- posed approach analyzes the browsing behavior of users to derive a semantically enhanced context that points out the information which is likely to be relevant for a user according to its current activities.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1Red de Universidades con Carreras en Informática (RedUNCI

Semantic enrichment of social annotations for Web resource classification

Social annotations voluntarily provided by users in tagging or book-marking sites such as Delicious or Flickr have been recognized as an interesting source of metadata for assisting tasks such as classification of Web resources. However, the open-ended nature of the tags employed to annotate resources leads to problems such as the introduction of noise and ambiguity that may hinder clas- sification results. This paper presents an approach for semantically analyse social annotations in order to attain enriched, concept-based representations of Web resources. Experimental results showed that the strategies proposed to relate tags to conceptual entities allow to improve the results of resource classification.Sociedad Argentina de Informática e Investigación Operativ