Gustavo González

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Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart(More)
The effect of additives such as polyhydric alcohols, polyethylene glycol and casein on the thermostability ofCucurbita ficifolia protease was determined. Glycerol and mannitol increased the half life of the enzyme approximately 2-fold. Addition of polyethylene glycol had a positive effect on enzyme stability and its stabilizing efficiency appears to(More)
1. Different metals were analysed in 77 post mortem samples of human renal cortex. 2. The concentrations of the metallic ions conformed to known distribution frequencies. In abnormal cases calculations were based on non parametric techniques. 3. There was no appreciable difference between the values found for each element and those described by other(More)
The total content of arsenic and of its inorganic (As(III) and As(V)) and organic (monomethylarsonic acid, MMAA, and dimethylarsinic acid, DMAA) species were determined in a set of 21 alcoholic and alcohol-free beer samples using the technique of Hydride Generation Atomic Absorption Spectrometry. For total arsenic analysis, beer samples were dried and then(More)
Our research focuses on the development of methodologies that take into account the human factor in user models. There is an obvious link between personality traits and user preferences both being indications of default tendencies in behavior, that can be automated by systems that recommend items to a user. In this work, we define an emotional component for(More)
The ability to express and recognise emotions is a fundamental element of human social interaction. With regard to web services, user requirements can be forgotten and forsaken when the user's emotional needs are satisfied. The question, then, is how to improve recommender systems, and make them more pleasant to the user through the perception of his/her(More)
This paper describes our approach to the next generation of open, distributed and heterogeneous recommender systems using Smart User Models (SUM). Our work focuses on integrating multiple agent-based services based on a unique representation of the user in what is called a Multi-agent Smart User Model. Intelligent agents are used in order to obtain a single(More)
This research focuses on the development of methodologies of tourism-related integration services. The authors define an adaptive Smart User Model and develop a methodology to build and manage this Smart User Model in the next generation of open environments in order to offer the user a variety of highly personalized services. In addition, the Smart User(More)
Smart User Models improve the quality of services personalization reducing the overload of processed information and capturing the affectivity of the user in the next generation of open, distributed and networked environments in Ambient Intelligence. In this paper, we combine the flexibility of intelligent agents with the information processing capabilities(More)
The occurrence of cyanobacterial blooms in aquatic environments is increasing in many regions of the world due to progressive eutrophication of water bodies. Because of the production of toxins such as Cylindrospermopsin (CYN), contamination of water with cyanobacteria is a serious health problem around the world. Therefore it is necessary to develop and(More)