Platform for developing and evaluating: voting, recommendation, personalization, and gathering information services into intelligent environments
Researchers of the research Group on Intelligent Systems (GSI) at the Technical University of Madrid in collaboration with the Intelligent Systems and Telematics Group of the University of Murcia have developed the VoteSim platform. This platform allows the development of recommendation and votation systems in the scope of intelligent spaces.
VoteSim allows quantifying and optimizing user satisfaction and other relevant factors such as the maximum waiting time to access personalized services. For this purpose, VoteSim combines: an editor for modeling ad hoc smart spaces, agent-based social simulation to model a society of artificial users/clients, recommendation systems based on machine learning techniques, and a large number of voting algorithms to maximize social welfare and customize shared services.
Ambient Intelligence (AmI) focuses on adapting to people's needs and particular situations. For example, an intelligent hotel may offer a number of configurable and shareable services: screening rooms, decoration based on dynamic decorative panels, dance clubs, heated swimming pools, and etcetera.
In these cases, the system has to decide how to configure these services and this decision involves trying to make customers as happy as possible while avoiding that some customers' preferences are constantly denied in favour of the common good. VoteSim allows developers to design and conduct quantifiable evaluations of recommendation systems and AmI services which have to reach consensus trying to maximize users' satisfaction.
“VoteSim includes numerous ready-to-use social choice and recommendation algorithms. This makes an easy and intuitive task the development of intelligence services to reach consensus and personalize configurations. Moreover, these services can be evaluated in 3D simulations”
“Ones of the most demanded needs in smart spaces are: services customization, provide recommenders, and gathering clients’ information. VoteSim can develop systems to encompass these needs”
Emilio Serrano, Carlos A. Iglesias, Mercedes Garijo, Juan A. Botía
Innovation, Commercialization and Entrepreneurship Area
Centre of Support for Technological Innovation – UPM