We are pleased to invite you to participate in the premier annual event on research and applications of recommendation technologies, the Seventh ACM Conference on Recommender Systems (RecSys 2013). The previous conferences have been distinguished by a strong level of interaction between researchers and practitioners in the sharing of ideas, problems and solutions, and the 2013 conference will continue in this tradition. The fully-refereed proceedings will be published by the ACM and, like past RecSys proceedings, are expected to be widely read and cited.

We construe recommender systems broadly, including applications ranging from e-commerce to social networking, platforms from web to mobile and beyond, and a wide variety of technologies ranging from collaborative filtering to case-based reasoning. Topics of interest for RecSys 2013 include (but are not limited to):

Algorithm scalability
Case studies of real-world implementations
Computational advertising
Conversational recommender systems
Context-aware and multidimensional models
Evaluation metrics and studies
Explanations and evidence
Group recommenders
Impact studies
Innovative/New applications
Machine learning for recommendation
Novel paradigms
Personalization
Preference elicitation
Recommendation algorithms
Social recommenders
User interfaces
Security, privacy, trust, and reputation
Semantic web technologies for recommendation
Theoretical foundations
User modelling
User studies
As in previous years Best Paper and the Best Poster awards will be presented as part of the conference main social event.