VoteSim. Maximize your clients’ social welfare
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.
Technology solution supported by the Technical University of Madrid
Technology solution
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.
Areas of application
IT and Communications applied to Intelligent
environments
“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.”
Market demands
Competitive advantages
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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]
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“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.”
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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.
References
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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 video: goo.gl/82Us7F
IPR
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Code under GNU General Public License v3.0
Software in registration process [M-2616-2014]
Development stage
Market potential
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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 mobileconnected devices by 2018, exceeding the world’s
population at that time (7.6billion) [Cisco Visual
Networking Index., 2013].
Concept
Industrial Prototype
R&D
Production
Lab Prototype
Contact VoteSim:
Emilio Serrano , Carlos A. Iglesias, Mercedes
Garijo, Juan A. Botía
e: [email protected]
w: http://www.gsi.dit.upm.es/
UPM contact
Innovation, Commercialization and
Entrepreneurship Area
Centre of Support for Technological Innovation
– UPM
e: [email protected]