Learning VAA: A new method for matching users to parties in voting advice applications-Reference-Cited by-同舟云学术

Learning VAA: A new method for matching users to parties in voting advice applications

Published:2020-05-06 Issue: Volume: Page:1-19
ISSN:1745-7289
Container-title:Journal of Elections, Public Opinion and Parties
language:en
Short-container-title:Journal of Elections, Public Opinion and Parties

Author:

Romero Moreno Guillermo¹^ORCID,Padilla Javier²^ORCID,Chueca Enrique³

Affiliation:

1. University of Southampton Faculty of Physical Sciences and Engineering Electronics and Computer Science University Road, Southampton, United Kingdom of Great Britain and Northern Ireland

2. City University of New York New York, New York, United States

3. Inter-American Development Bank Washington, District of Columbia, United States

Publisher

Informa UK Limited

Subject

Sociology and Political Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457289.2020.1760282

Reference39 articles.

1. Applying Hidden Markov Models to Voting Advice Applications

2. The dimensionality of political space: Epistemological and methodological considerations

3. A Categorization Theory of Spatial Voting: How the Center Divides the Political Space

4. Improving Social Vote Recommendation in VAAs: The Effects of Political Profile Augmentation and Classification Method

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