Engaging end-user driven recommender systems: personalization through web augmentation

In the past decades recommender systems have become a powerful tool to improve personalization on the Web. Yet, many popular websites lack such functionality, its implementation usually requires certain technical skills, and, above all, its introduction is beyond the scope and control of end-users. To alleviate these problems, this paper presents a novel tool to empower end-users without programming skills, without any involvement of website providers, to embed personalized recommendations of items into arbitrary websites on client-side. For this we have developed a generic meta-model to capture recommender system configuration parameters in general as well as in a web augmentation context. Thereupon, we have implemented a wizard in the form of an easy-to-use browser plug-in, allowing the generation of so-called user scripts, which are executed in the browser to engage collaborative filtering functionality from a provided external rest service. We discuss functionality and limitations of the approach, and in a study with end-users we assess the usability and show its suitability for combining recommender systems with web augmentation techniques, aiming to empower end-users to implement controllable recommender applications for a more personalized browsing experience.Fil: Wischenbart, Martin. Johannes Kepler University Linz; AustriaFil: Firmenich, Sergio Damian. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Rossi, Gustavo Héctor. Universidad Nacional de La Plata. Facultad de Informática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Bosetti, Gabriela Alejandra. Universidad Nacional de La Plata. Facultad de Informática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaFil: Kapsammer, Elisabeth. Johannes Kepler University Linz; Austri

Model-Based Tool Integration- State of the Art and Future Perspectives 1

The quality and effectiveness of software development heavily depends on the underlying tools used for different phases of the development lifecycle. With the rise of model-driven development, a proper integration of modeling tools represents a crucial success factor. At the same time, the usage of models as the major artifact in software development allows a new form of interoperability in terms of model-based tool integration. Model-based tool integration focuses on the integration between the tool’s languages metamodels, providing a proper basis for a later (semi-)automatic model integration step. The contribution of this paper is to investigate the current state of the art in model-based tool integration, to identify and elaborate on promising concepts and technologies and to point the way to nextgeneration tool integration solutions, based on semantic technologies

Metadata-Based Middleware for Integrating Information Systems: A Case Study

Distribution and heterogeneity are the most relevant barriers for the development of interoperable information systems. By means of metadata-based middleware distributed and heterogeneous system components can be integrated, thus providing transparency while preserving autonomy. This paper presents a case study of three different projects in the area of metadata-based middleware and compares them along different criteria. Keywords: Distribution, Heterogeneity, Middleware, Transparency, Metadata. 1. INTRODUCTION Distribution and heterogeneity become increasingly important keywords characterizing today's information system infrastructure. They may be either a result of historical reasons, which means that certain system components have been developed independently, without having a later integration in mind or they may have their origin in organizational or technical circumstances. However, distribution and heterogeneity are the most relevant barriers for the development of interoperab..

Gulliver Beans: A Tool for Fine Tuning Data Delivery in E-Commerce Applications

This paper is structured as follows. Section 2 presents related work. Then, in Section 3 we describe the Gulliver platform and in particular Gulliver Beans. Next, Section 4 discusses the approach presented. We finish with a summary and conclusions

M.: Lifting metamodels to ontologies: A step to the semantic integration of modeling languages. In: MoDELS. Volume 4199

Abstract. The use of different modeling languages in software development makes their integration a must. Most existing integration approaches are metamodel-based with these metamodels representing both an abstract syntax of the corresponding modeling language and also a data structure for storing models. This implementation specific focus, however, does not make explicit certain language concepts, which can complicate integration tasks. Hence, we propose a process which semi-automatically lifts metamodels into ontologies by making implicit concepts in the metamodel explicit in the ontology. Thus, a shift of focus from the implementation of a certain modeling language towards the explicit reification of the concepts covered by this language is made. This allows matching on a solely conceptual level, which helps to achieve better results in terms of mappings that can in turn be a basis for deriving implementation specific transformation code