Dynamic Profiles for Voting Advice Applications

An Implementation for the 2017 Ecuador National Elections

  • Luis  Terán

Part of the Fuzzy Management Methods book series (FMM)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Motivation and Objectives

    1. Front Matter
      Pages 1-1
    2. Luis Terán
      Pages 3-11
  3. Background

    1. Front Matter
      Pages 13-13
    2. Luis Terán
      Pages 15-26
  4. Conceptual Framework

    1. Front Matter
      Pages 49-49
  5. Implementation and Evaluation

    1. Front Matter
      Pages 95-95
    2. Luis Terán
      Pages 97-116
    3. Luis Terán
      Pages 117-130
  6. Conclusion

    1. Front Matter
      Pages 131-131
    2. Luis Terán
      Pages 133-143
  7. Back Matter
    Pages 145-167

About this book


Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as tools to enable electronic citizen participation during election campaigns. Further, making use of fuzzy classification, it provides an evaluation framework for eParticipation. A dynamic voting advice application developed for the 2017 Ecuador national election serves as a real-world case study to introduce readers to the practical implementation and evaluation issues. The book concludes with a comprehensive analysis of the 2017 election project based on altmetrics, Google Analytics and statistics from the case study.​


Voting advice applications Recommender systems techniques Classification frameworks Dynamic profiling Vector profiles Sentiment analysis Social network development Altmetrics Google Analytics

Authors and affiliations

  • Luis  Terán
    • 1
  1. 1.Department of InformaticsUniversity of FribourgFribourgSwitzerland

Bibliographic information