Topics of interest for RecSys 2017 include (but are not limited to):
- Algorithm scalability
- Case studies of real-world implementations
- Conversational recommender systems
- Context-aware recommenders
- Evaluation metrics and studies
- Explanations and evidence
- Field and user studies
- Group recommenders
- Innovative/New applications
- Machine learning for recommendation
- Mobile and multi-channel recommendations
- Novel paradigms
- Personalisation
- Preference elicitation
- Privacy and Security
- Recommendation algorithms
- Social recommenders
- Semantic technologies for recommendation
- Trust and reputation
- Theoretical foundations
- User interaction and interfaces
- User modelling
