Recommender Systems are currently highly relevant for helping users deal with the
information overload they suffer from the large volume of data on the web, and automatically …

With the advent of new technology paradigm, SMAC (Social media, Mobile, Analytics and
Cloud) the information network generates an infinite ocean of data spreading faster and …

Recommender systems aim to identify relevant items for particular users in large-scale
online applications. The historical rating data of users is a valuable input resource for many …

Voting Advice Applications–VAAs–have become a widespread online feature of electoral
campaigns in Europe, attracting growing interest from social and political scientists. But until …

Online microblog-based social networks have been used for expressing public opinions
through short messages. Among popular microblogs, Twitter has attracted the attention of …

The millions of tweets submitted daily overwhelm users who find it difficult to identify content
of interest revealing the need for event detection algorithms in Twitter. Such algorithms are …

In many countries with multiparty systems, a decline in class voting has increased volatility
and the need for comprehensive information about the political landscape among voters …

Nowadays, political campaigns combine traditional media channels with social media
platforms, opening new and promising possibilities for parties and candidates looking for …

This article introduces the iterative expert survey approach in estimating parties' policy
positions. Methodologically, the proposed approach is based on the tradition of …

In the process of statement selection for online voting advice applications (VAAs) a
considerable amount of time is spent for analyzing the domestic and foreign policies of a …