Live Recommender is a group of applications to investigate different types of recommendations about tourist activities. With Live Recommender we try to help the tourists when they are going to visit a city and they don’t know what activities they would like.
Movie Recommender System for groups of people. Includes personality modelling, social factors, trust. Happy Movie is integrated with the social network FaceBook.
This tool aims speed up the development of these behaviors, allowing at the video-game designers (that they not have technical expertise) can create and modify these behaviors.
A well-known soccer robot simulation (Soccerbots) with a new interface that includes different features for pedagogical and research purposes. Implement your robots, play and watch their behaviours with heatmaps, train them, analyze their game metrics. Finally, make them compete in a Robocup tournament.
A recommendation approach for repositories of Learning Objects that adapts to the student pro.file. LORecommender follows a cascade hybrid strategy that refi.nes the decisions of a case-based recommender by using a collaborative one.
Rosette is a visual authoring tool that helps experts in the task of designing a game domain. This tool contains some novice techniques that alleviate the main drawbacks of the architecture used in modern video games for creating the logic part of the different game objects
TeXiS is a set of LaTeX files that acts as a template for creating documents that researchers have to write. It is useful to create PhD and Master Thesis, assignments and so on. Most of the PhD and Master Thesis created by GAIA over the last few years used TeXiS.
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