Clustering online poll data: Towards a voting assistance system

Ioannis Katakis, Nicolas Tsapatsoulis, Vasiliki Triga, Constantinos Tziouvas, Fernando Mendez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Voting advice applications (VAA) are very recently developed in order to aid users in deciding what to vote in elections. Every user is presented with a set of important issues and she is asked to submit her opinion by selecting one of a predefined set of answers (e.g. agree/disagree). The VAA gathers the same information for all candidates that are about to compete in the elections. Hence, it can provide recommendation to users: the candidates that agree with the user on these selected issues. In this paper, we propose a collaborating filtering approach for providing such suggestions. Like-minded users are clustered together based on their profiles (views on the selected issues) and voting recommendation is provided to a user by the members of the nearest (to her profile) cluster. We observe that this method produces more effective recommendations by utilizing two different measures: accuracy and weighted mean rank. Furthermore, the proposed method provides with important insight and summarization information about the electorate's opinion. This research is based on new data gathered by the voting advice application Choose4Greece which was widely used for the most recent elections in Greece.

Original languageEnglish
Title of host publicationProceedings - 2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2012
Pages54-59
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2012
Event2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2012 - Luxembourg, Luxembourg
Duration: 3 Dec 20124 Dec 2012

Conference

Conference2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2012
CountryLuxembourg
CityLuxembourg
Period3/12/124/12/12

Cite this

Katakis, I., Tsapatsoulis, N., Triga, V., Tziouvas, C., & Mendez, F. (2012). Clustering online poll data: Towards a voting assistance system. In Proceedings - 2012 7th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2012 (pp. 54-59). [6406615] https://doi.org/10.1109/SMAP.2012.19