Fernando Díez Rubio

Fernando Díez Rubio
Universidad Autónoma de Madrid | UAM · Department of Computer Engineering

PhD.

About

41
Publications
7,747
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647
Citations
Citations since 2017
2 Research Items
414 Citations
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2017201820192020202120222023020406080
2017201820192020202120222023020406080
Introduction
Skills and Expertise

Publications

Publications (41)
Article
Domain-Specific Languages (DSLs) allow for the building of applications that ease the labour of both software engineers and domain experts thanks to the level of abstraction they provide. In cases where the domain is restricted to Client-Side Web Applications (CSWA), XML-based languages, frameworks and widgets are commonly combined in order to prov...
Article
Domain-Specific Languages (DSLs) allow building software applications by simplifying the labour of both software engineers and domain experts thanks to the abstraction provided by a high-level code. Introducing a DSL in the software development process requires the use of technologies and frameworks in the design and implementation activities. If w...
Article
In this work, we show a methodology aimed to improve the quality of the assessment process for subjects related to basic programming. The method takes into account the relevance of the items and the students answers to follow different paths to improve the accuracy of the assessment process. We have developed numerical simulations and experiments w...
Article
Full-text available
Exploiting temporal context has been proved to be an effective approach to improve recommendation performance, as shown, e.g. in the Netflix Prize competition. Time-aware recommender systems (TARS) are indeed receiving increasing attention. A wide range of approaches dealing with the time dimension in user modeling and recommendation strategies hav...
Article
In this work, we propose a computer-assisted method to improve the quality of the assessment process for subjects related to basic programming. We demonstrate, through numerical simulations and experiments with real students, that our models can be very useful when compared with traditional evaluation processes. The characteristics of our method im...
Conference Paper
In this paper we present a contextual modeling approach for model-based recommender systems that integrates and exploits both user preferences and contextual signals in a common vector space. Differently to previous work, we conduct a user study acquiring and analyzing a variety of realistic contextual signals associated to user preferences in seve...
Conference Paper
Online services are usually accessed via household accounts. A household account is typically shared by various users who live in the same house. This represents a problem for providing personalized services, such as recommendation. Identifying the household members who are interacting with an online system (e.g. an on-demand video service) in a gi...
Conference Paper
Context-aware recommender systems have been proven to improve the performance of recommendations in a wide array of domains and applications. Despite individual improvements, little work has been done on comparing different approaches, in order to determine which of them outperform the others, and under what circumstances. In this paper we address...
Conference Paper
Full-text available
Item Splitting has been proposed as a technique for improving Collaborative Filtering (CF) by means of grouping and exploiting ratings according to the contexts in which they were generated. It shows positive effects on recommendation in the presence of significant differences between the users' preferences within distinct contexts. However, the ad...
Article
Full-text available
In the Social Web, a number of diverse recommendation approaches have been proposed to exploit the user generated contents available in the Web, such as rating, tagging, and social networking information. In general, these approaches naturally require the availability of a wide amount of these user preferences. This may represent an important limit...
Article
Recommender systems, Social Networks, Evaluation Recommender Systems aim at automatically finding the most useful products or services for a particular user, providing a personalised list of items according to different input and attributes of users and items. State-of-the-art recommender systems are usually based on ratings and implicit feedback g...
Article
Model Driven Engineering (MDE) has been widely researched as a solution for the complexity of software development over last decades. However, it is not widely adopted efficiently in industry. In this paper, we identify two main challenges prevent MDE from industrial adoption: the first one is capturing dynamic behaviours from real problems in huma...
Conference Paper
Full-text available
Popular online rental services such as Netflix and MoviePilot often manage household accounts. A household account is usually shared by various users who live in the same house, but in general does not provide a mechanism by which current active users are identified, and thus leads to considerable difficulties for making effective personalized reco...
Conference Paper
Full-text available
The use of temporal dynamic terms in Matrix Factorization (MF) models of recommendation have been proposed as a means to obtain better accuracy in rating prediction task. However, the way such models have been tested may not be a realistic setting for recommendation. In this paper, we evaluated rating prediction and top-N recommendation tasks using...
Article
Full-text available
In this paper, we describe the experiments conducted by the Information Retrieval Group at the Universidad Autónoma de Madrid (Spain) to tackle the Identifying Ratings (track 2) task of the CAMRa 2011 Challenge. The experiments per-formed include time-frequency probabilistic strategies, heu-ristic collaborative filtering (CF) and a model-based CF a...
Conference Paper
Full-text available
We present a two-layer OWL ontology-based Knowledge Base (KB) that allows for flexible content selection and discourse structuring in Natural Language text Generation (NLG) and discuss its use for these two tasks. The first layer of the ontology contains an application-independent base ontology. It models the domain and was not designed with NLG in...
Article
This paper introduces two platforms for the experimentation in games strategies within the study of Adversarial Search, part of the practical curriculum in Artificial Intelligence. The first one is a platform for performing tournaments. AI students are asked to send automated players for a given game, which are confronted against each other and ran...
Article
Full-text available
In this paper, we describe the experiments conducted by the Information Retrieval Group at the Universidad Autónoma de Madrid (Spain) in order to better recommend movies for the 2010 CAMRa Challenge edition. Experiments were carried out on the dataset corresponding to weekly Filmtipset track. We consider simple strategies for taking into account th...
Article
Full-text available
In this paper, we describe the experiments conducted by the Information Retrieval Group at the Universidad Autónoma de Madrid (Spain) in order to better recommend movies for the 2010 CAMRa Challenge edition. Experiments were carried out on the dataset corresponding to social Filmtipset track. To obtain the movies recommendations we have used differ...
Chapter
Over the last few years, we have seen the traditional teaching of Mathematics complemented by the appearance of specific learning applications in different contexts. In addition to receiving instruction from the teacher, students also frequently go to the computer science laboratories to make use of specific learning programs. The installation of t...
Article
This article describes an innovative teaching experiment (part of a project for Innovation in Teaching at the University Autónoma of Madrid) which was undertaken by the authors during the first semester of the academic year 2004/2005. This teaching experiment has been the object of evaluation by the students as part of their coursework and has cons...
Conference Paper
In this work we show how MathEdu, an authoring tool for the design of collections of interactive problems of Mathematics that involve symbolic computation allows the use of resolution strategies. We also describe the mechanisms related to these strategies. MathEdu allows for the definition of interactive problems and their generalization. MathEdu a...
Chapter
This paper describes Math Trainer, a system that guides the student while learning mathematical concepts that involve symbolic manipulation, such as the resolution of Ordinary Differential Equations. Math Trainer shows students the steps that are required to solve exercises with symbolic calculations. The exercises can be posed by the student or by...
Chapter
Although the end of this century is bringing up a lot of improvements in computer technology, there are no applications for teaching Mathematics with enough level of interactivity with the student. In this paper we are describing how an authoring tool, MathEdu, based on the Programming by demonstration paradigm and on Mathematica¯, enables the cons...
Article
Tesis inédita de la Universidad Autónoma de Madrid, Escuela Técnica Superior de Informática Bibliogr.: p. 193-198
Article
Full-text available
RESUMEN En los últimos años se han desarrollado numerosos sistemas enfocados a la visualización de contenidos de enseñanza-aprendizaje en entornos virtuales que integran texto, imagen, video, audio, o combinación entre ellas. Nuestro interés se centra en desarrollar un nuevo sistema para la generación automática de ejercicios y ejemplos para conten...
Article
Full-text available
El trabajo que se presenta es parte de la investigación en curso sobre funciones de distribución asociadas a los scores de documentos relevantes y no-relevantes. Como parte del estudio, se hará una crítica del modelo Normal-Exponencial añadiendo algunas evidencias experimentales mediante contrastes de hipótesis a las ya conocidas limitaciones del m...
Article
Full-text available
The continuous growth of contents in text and other media on the Web and intranets demands a parallel progress of information access technologies. This projects aims at a) the development of a novel semantic search model, with ontology-based content ranking algorithms, improving and complementing the achievements in this direction in the Semantic W...
Article
Full-text available
En el presente documento vamos a describir un prototipo de sistema de ayuda al proceso enseñanza/aprendizaje mediante la utilización de una nueva herramienta: MathEdu. Dicha herramienta trata de llenar espacios relacionados con la informática educativa y la interacción persona-ordenador. En este contexto de informática educativa personal, un tanto...
Article
Full-text available
RESUMEN El trabajo que se presenta está relacionado con el desarrollo de herramientas que permitan la interacción con el alumno en sistemas de resolución de ejercicios de Matemáticas [3]. Existe un déficit de aplicaciones de supervisión del trabajo deductivo en Matemáticas. Con el fin de mejorar la capacidad de supervisión, estamos desarrollando un...
Article
El objetivo de esta comunicación es mostrar dos herramientas de autor para la creación de problemas interactivos de Matemáticas. Las colecciones de problemas interactivos desarrollados con estas herramientas permiten a los alumnos practicar la resolución de problemas que involucran cálculos simbólicos, como la resolución de integrales o derivadas,...
Article
Resumen Recientemente se ha observado que la dimensión temporal juega un rol preponderante en la calidad de las predicciones realizadas por sistemas de recomendación, cómo muestran diversos estudios. Ex-isten diversas propuestas en la literatura que incorporan esta informa-ción para mejorar las recomendaciones obtenidas mediante filtrado co-laborat...
Article
Full-text available
Recommender Systems (RS) suggest items to users without requesting them a explicit query, but exploiting their personal prefer-ences expressed in the form of profiles. In these profiles, timestamped information allows identifying changes of user interests through time. Time-aware RS (TARS) aim to benefit from this information. However, most TARS ap...
Article
Full-text available
In this paper, we describe the experiments conducted by the Information Retrieval Group at the Universidad Autónoma de Madrid (Spain) to tackle the Rater Prediction task (track 2) of the CAMRa 2011 Challenge. The experiments per-formed includes time-frequency probabilistic strategies, a simple kNN and a matrix factorization approaches. Re-sults sho...

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