Automated user modeling for personalized digital libraries

Digital libraries (DL) have become one of the most typical ways of accessing any kind of digitalized information. Due to this key role, users welcome any improvements on the services they receive from digital libraries. One trend used to improve digital services is through personalization. Up to now, the most common approach for personalization in digital libraries has been user-driven. Nevertheless, the design of efficient personalized services has to be done, at least in part, in an automatic way. In this context, machine learning techniques automate the process of constructing user models. This paper proposes a new approach to construct digital libraries that satisfy user’s necessity for information: Adaptive Digital Libraries, libraries that automatically learn user preferences and goals and personalize their interaction using this information

Machine Learning in Automated Text Categorization

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the categories. The advantages of this approach over the knowledge engineering approach (consisting in the manual definition of a classifier by domain experts) are a very good effectiveness, considerable savings in terms of expert manpower, and straightforward portability to different domains. This survey discusses the main approaches to text categorization that fall within the machine learning paradigm. We will discuss in detail issues pertaining to three different problems, namely document representation, classifier construction, and classifier evaluation.Comment: Accepted for publication on ACM Computing Survey

Geographical Indication Labels in Moroccan Olive Oil Sector: Territorial Dimension and Characterization of Typicality: A Case Study of Meknès Region

Geographical indications (GIs) implementation is, nowadays, one of the most prominent differentiation strategies used in olive oil market. The proliferation of these labels, however, causes debate and controversy, in particular regarding their usefulness, effectiveness, and suitability of some protected areas to acquire them. This chapter discusses the use of GI labels in olive oil market, and proposes a four-stage methodological approach to examine the potential of Meknès region—a Moroccan olive growing area—to acquire a GI label. Based on this approach, Meknès region territorial dimensions were defined, the typicality of its olive oil was characterized, a general scheme for the GI recognition was proposed, and the adopted strategy to enhance the meaning of this label on domestic, national, and international markets was highlighted. The main findings of this study justify the suitability of Meknès region to protect its olive oil with a GI label

Exploring digital competencies: validation and reliability of an instrument for the educational community and for all educational stages

Digital competencies are very significant in terms of integrating digital resources into educational processes. This study presents the validity and reliability of an instrument cre- ated by Carrera et al. (2011), in order to evaluate the basic digital competence of the three main educational agents of the educational community (teachers, students, and parents) for all educational stages (Early Childhood Education, Primary Education, Secondary Educa- tion and Higher Education), making use of digital resources to (1) Skills in management and transfer of technological data, (2) Software and hardware skills, (3) Web navigation skills, (4) Skills in using word processors, (5) Data processing and management skills, y (6) Multimedia presentation design skills. The application of the instrument was carried out with a sample of 1,149 participants from all educational stages, coming from the entire territory of the Dominican Republic. Reliability was assessed using various mea- sures, including Cronbach’s Alpha, Spearman-Brown Coefficient, Guttman’s Two Halves, McDonald’s Omega, and composite reliability. To validate the instrument, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out with the purpose of understanding the validity and dimensionality of the scale (comprehension validity, construct validity, convergent, discriminant and invariance validity). The results demonstrated highly satisfactory reliability, and in terms of construct validity, a good fit of the model was observed, valid for any educational agent and for any educational stage. The final version of the instrument consists of 20 items classified into six latent factorsFunding for open access charge: Universidad de Málaga / CBU

Ono: an open platform for social robotics

In recent times, the focal point of research in robotics has shifted from industrial ro- bots toward robots that interact with humans in an intuitive and safe manner. This evolution has resulted in the subfield of social robotics, which pertains to robots that function in a human environment and that can communicate with humans in an int- uitive way, e.g. with facial expressions. Social robots have the potential to impact many different aspects of our lives, but one particularly promising application is the use of robots in therapy, such as the treatment of children with autism. Unfortunately, many of the existing social robots are neither suited for practical use in therapy nor for large scale studies, mainly because they are expensive, one-of-a-kind robots that are hard to modify to suit a specific need. We created Ono, a social robotics platform, to tackle these issues. Ono is composed entirely from off-the-shelf components and cheap materials, and can be built at a local FabLab at the fraction of the cost of other robots. Ono is also entirely open source and the modular design further encourages modification and reuse of parts of the platform

The impact of double mediation on market performance using information communication technology and market orientation

Market performance is important to the company's development. This study examines the determinant factors of market performance through information and communication technology (ICT). The probability and simple random sampling methods were used to determine the sample. Furthermore, the research instrument was the questionnaire distributed personally to the respondents. The results show that the market performance of used car showroom MSMEs in the Malang was determined both directly and indirectly by information quality, eReadiness, use of ICTs, and market orientation, which is more dominant. The use of ICTs and market orientation fully and partially mediates the information quality and eReadiness on market performance, respectively