This special session aims at discussing the state-of-the-art, open problems, challenges and innovative research approaches in recommending tags and resources in social tagging systems.
Examples of stimulating application fields are recommendation in social bookmarking environments, publication sharing systems, or, more in general, digital libraries 2.0.
Three specific questions motivate this special session:

1. How users’ interests, goals and preferences can be modeled in social tagging systems?
2. What models, techniques, and tools are the most adequate in order to overcome folksonomies’ limitations and to provide plausible and useful recommendations?
3. How much the usage of tags for generating recommendations can improve
   results of other existing recommender systems?