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VoteSim. Maximize your clients' social welfare

Ficha comercial

[VoteSim]Commercial_sheet_UPM_EN(Innovatech) PDF

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.

Descripción Tecnológica

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”


Necesidades de Mercado

  • Intelligent Environments (IEs) use networked computing technology to create environments that are sensitive and responsive to the presence of people.
  • Ones of the most demanded features in smart spaces are customization services, recommenders, and gathering users information.
  • Globally, there were nearly 22 million wearable devices in 2013 generating 1.7 petabytes of monthly traffic [Cisco Visual Networking Index., 2013]

“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”

Potencial de Mercado

  • By 2020 the market of intelligent spaces could be worth between 22 billion and 50 billion dollars and made up of some 16 billion connected devices [Arthur D. Little Report]
  • High penetration of smartphones, chosen by many users as their personal electronic device. In fact, the number of smartphones will grow from 1,500 million in 2011 to 2,000 million in 2015.
  • By the end of 2014, the number of mobile-connected devices will exceed the number of people on earth, and by 2018 there will be nearly 1.4 mobile devices per capita. There will be over 10 billion mobile-connected devices by 2018, exceeding the world’s population at that time (7.6billion) [Cisco Visual Networking Index., 2013].
Ventajas Competitivas de la Solución

  • VoteSim can easily include customization services by aggregating users’ preferences with a series of voting algorithms such as: plurality, Borda, range, approval, cumulative, etcetera.
  • The only simulator that implements various voting systems and recommendation services considered from the perspective of intelligent spaces. It also includes innovative algorithms specially designed to maximize user satisfaction in shared spaces.
  • Unlike the political case, users or clients can choose from several services in shared spaces. VoteSim can automatically conduct an intelligent data analysis of the feedback obtained after voting and, based on this analysis, recommending the most suitable services for each client.
  • Depending on the voting or recommending service used, different clients’ data are requested by the system and gathered  for further analysis.



  • VoteSim has been used in THOFU - Technologies for the Hotel of the Future, a R&D project which focuses on new tourism concepts and the way exclusive and innovative hotel services could be delivered.
  • VoteSim description

  • Code under GNU General Public License v3.0
  • Software in registration process [M-2616-2014] 


Grado de Desarrollo

  • Concept
  • R&D
  • Lab-Protoype
  • Industrial Prototype
  • Production

VoteSim contact

Emilio Serrano, Carlos A. Iglesias, Mercedes Garijo, Juan A. Botía

e: cif@gsi.dit.upm.es

w: http://www.gsi.dit.upm.es

UPM contact

Innovation, Commercialization and Entrepreneurship Area

Centre of Support for Technological Innovation – UPM 

e: innovacion.tecnologica@upm.es

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