The goal of this workshop is to continue the vibrant discussion on social media mining and modelling with a special focus on recommender systems for social media applications. Hence, the workshop aims to attract and discuss various novel aspects of social media mining, modelling and doing recommendations on top of these data/models. In short the workshop invites topics such as social media mining methods/techniques, novel approaches to model users or things in social media, frameworks to harvest and/or display social media data and new social media recommender methods/techniques/algorithms or interfaces supporting users for instance in information finding, meta-data application etc. Thus, our goal is to bring together researchers and practitioners from all over the world with diverse backgrounds interested in
- Exploring different perspectives and approaches to mine (complex) and analyse social media data
- modelling social media users
- building applications such as recommender systems on top of this data/models.
Participation of di.me
The di.me partners, University of Siegen and the University of Galway, worked together on a paper which got accepted at the event
Privacy-preserving concepts for supporting recommendations in
decentralized OSNs. by Marcel Heupel, Mohamed Bourimi, Simon Scerri and Dogan Kesdogan.