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Titlebook: Highlights in Practical Applications of Agents and Multiagent Systems; 9th International Co Javier Bajo Pérez,Juan M. Corchado,Antonio Fern

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Applying Recommender Methodologies in Tourism Sectorecommender methodologies proposed. To do so, we implemented such methodologies in a real recommender system for tourism. Afterwards, we analyzed and compared the recommendation given by both methodologies in order to find out if they are effective and able to deal with common drawbacks.
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Open Issues in Multiagent System Reorganizationeffort to identify the dearth of support in current approaches, this paper presents a comparison and analysis of the most relevant approaches for reorganization. Then, after an evaluation, we indicate some future research lines with regard to reorganization in Multiagent Systems.
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Analizying Factors to Increase the Influence of a Twitter Userof a user (depending on the concrete tool), (b) to discover if those actions are related to different tools (and whether we can increase influence in more than one way), and (c) to advise people (or companies) about how they can get a greater impact.
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Semantic Zoom: A Details on Demand Visualisation Technique for Modelling OWL Ontologies with this problem, resulting in visualisations more clear and understandable. This paper analyses the currently most used tools for modelling or visualise ontologies, and proposes a visualisation making use of semantic zoom with our tool OWL-VisMod to develop a details on demand visualisation technique.
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VigilAgent Methodology: Modeling Normal and Anomalous Situationsology to guide stakeholders in achieving quality standards expected from commercial software. The experimental setting is based on the development of an application for monitoring and controlling the normal and anomalous situations that happen when humans access to a specific area.
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Automatic Learning Object Extraction and Classification in Heterogeneous Environmentsologies may help organizing and sorting search results in a meaningful way for educational content. The paper presents also the ground for an approach for semantic-aware learning content retrieval based on abstraction layers between the repositories and the search clients.
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