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E-raamat: SmartParticipation: A Fuzzy-Based Recommender System for Political Community-Building

  • Formaat: PDF+DRM
  • Sari: Fuzzy Management Methods
  • Ilmumisaeg: 11-Jun-2014
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319065519
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SmartParticipation: A Fuzzy-Based Recommender System for Political Community-BuildingSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Fuzzy Management Methods
  • Ilmumisaeg: 11-Jun-2014
  • Kirjastus: Springer International Publishing AG
  • Keel: eng
  • ISBN-13: 9783319065519
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In this book a fuzzy-based recommender system architecture for stimulating political participation and collaboration is proposed. It showcases the "Smart Participation" project, which uses the database of "smart vote", a well-known voting advice application (VAA) for local, cantonal and national elections in Switzerland. Additionally, an evaluation framework for e Participation is presented, which allows to analyze different projects and their development towards the enhancement of citizen's participation and empowerment. The book demonstrates the potential for building political communities and the stimulation of civic participation.
Part I Motivation and Objectives
1 Introduction
3(10)
1.1 Motivation
3(2)
1.2 Objectives
5(1)
1.3 Research Questions
5(1)
1.4 Research Methods
6(1)
1.5 Research Issues
7(1)
1.6 Thesis Outline
7(2)
1.6.1 Part II: Background
7(1)
1.6.2 Part III: Conceptual Framework
8(1)
1.6.3 Part IV: Evaluation Framework
8(1)
1.6.4 Part V: Implementation
8(1)
1.6.5 Part VI: Conclusions
8(1)
1.7 Published Work
9(4)
Part II Background
2 eGovernment
13(8)
2.1 eGovernment Framework
13(2)
2.1.1 Process Level I: Information and Communication
14(1)
2.1.2 Process Level II: Production
14(1)
2.1.3 Process Level III: Participation
14(1)
2.2 eCollaboration
15(1)
2.3 eDemocracy
16(2)
2.3.1 Process Steps for eVoting and eElections
17(1)
2.4 eCommunity
18(1)
2.5 Remarks on the eGovernment Framework
19(1)
2.6 Further Readings
19(2)
3 Recommender Systems
21(12)
3.1 Introduction to RSs
21(1)
3.1.1 Challenges and Problems of RSs
22(1)
3.2 RSs for eCommerce
22(2)
3.2.1 Collaborative Filtering
23(1)
3.3 Recommender System Techniques
24(6)
3.3.1 Memory-Based CF Algorithms
24(2)
3.3.2 Model-Based CF Algorithms
26(2)
3.3.3 Dimensionality Reduction
28(2)
3.4 Remarks on RSs
30(2)
3.5 Further Readings
32(1)
4 Fuzzy Logic
33(14)
4.1 Fuzzy Logic and Fuzzy Sets Theory
33(2)
4.2 Fuzzy Set Operations
35(3)
4.3 Sharp Versus Fuzzy Clustering
38(4)
4.3.1 C-Means Algorithm
38(1)
4.3.2 Fuzzy C-Means Algorithm
39(3)
4.4 Remarks on the FCM Algorithm
42(1)
4.5 Further Readings
43(4)
Part III Conceptual Framework
5 Fuzzy Recommender System
47(36)
5.1 General Architecture
47(1)
5.2 User Profile Generation
48(2)
5.3 Recommendation Engine
50(2)
5.3.1 Fuzzy Cluster Algorithm
50(2)
5.4 Visualization of the FRS
52(28)
5.4.1 Top-N Recommendations
52(1)
5.4.2 Community-Building Process
53(2)
5.4.3 Evaluation of Dimensionality Reduction Methods
55(17)
5.4.4 Validation of Fuzzy Clustering Methods
72(8)
5.5 Remarks About the FRS
80(1)
5.6 Further Readings
80(3)
6 Smart Participation
83(12)
6.1 eParticipation
83(3)
6.1.1 Participation Levels
84(2)
6.2 Project Description
86(1)
6.3 eParticipation Maturity Models
87(4)
6.3.1 eParticipation Maturity Model for eCollaboration
87(1)
6.3.2 eParticipation Maturity Model for eDemocracy
88(2)
6.3.3 eParticipation Maturity Model for eCommunity
90(1)
6.4 Remarks on the SmartParticipation Project
91(1)
6.5 Further Readings
91(4)
Part IV Evaluation Framework
7 Evaluation Framework
95(18)
7.1 eParticipation Evaluation Framework
95(3)
7.1.1 Framework Description
95(3)
7.2 Evaluation of Participation Levels
98(9)
7.2.1 Voting Advice Applications
106(1)
7.3 Evaluation of VAAs
107(2)
7.4 Remarks on the Evaluation Framework
109(1)
7.5 Further Readings
109(4)
Part V Implementation
8 Architecture and Implementation
113(14)
8.1 SmartParticipation Architecture Overview
113(1)
8.2 Web Interface
114(3)
8.3 User Profile
117(4)
8.3.1 Static Profile
117(1)
8.3.2 Dynamic Profile
118(3)
8.4 FRS Implementation
121(2)
8.5 Further Readings
123(4)
Part VI Conclusions
9 Discussion and Conclusions
127(8)
9.1 Discussion
127(2)
9.2 Outlook
129(1)
9.3 Conclusions
130(5)
Appendix A List of VAAs 135(2)
Appendix B Evaluation of the Smartvote Project 137(4)
Appendix C ICT Tools for eParticipation 141(8)
Appendix D Mockup for SmartParticipation 149(2)
Appendix E Smartvote Match Points Computation 151(2)
References 153(6)
Internet Sources 159
Luis Terán is currently working as assistant doctor at the Information Systems Research Group, University of Fribourg, Switzerland. He earned a Ph.D. in Computer Science at the University of Fribourg (Information Systems Research Group). In 2009, he finished a M.Sc. in Communication Systems from the Federal Institute of Technology (EPFL), Lausanne, Switzerland. In 2004, he received a B.Sc. in Electronics and Telecommunications from Escuela Politécnica Nacional, Quito, Ecuador. His research interests include eGovernment, eParticipation, eCollaboration, eDemocracy, eElection, eVoting, eCommunities, ePassports, recommender systems and fuzzy classification. He is currently a board member for the IEEE e-Government Special Technical Community, the program chair and main organizer for the International Conference on eDemocracy and eGovernment (ICEDEG) and an instructor in the International Seminar on eDemocracy and eGovernment (ISEDEG).
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