3.2.10

CFP: ACM Recommender Systems 2010

ACM Recommender Systems 2010
September 26-30, 2010 :: Barcelona, Spain

You are invited to participate in the premier annual event on research and applications of recommendation technologies, the Fourth ACM Conference on Recommender Systems. The previous conferences in Minneapolis (2007), Lausanne (2008) and New York (2009) have been distinguished by a strong level of interaction between practitioners and researchers in the sharing of ideas, problems and solutions, and the 2010 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.

IMPORTANT DATES

  • Deadline for abstracts (mandatory for long/short papers): April 16, 11.59 pm (PST)
  • Deadline for papers (long/short): April 23, 11.59 pm (PST)
  • Paper Acceptance Notifications: June 23, 2010
  • Deadline for video reports: July 1, 2010
  • Camera-ready copy: July 21, 2010
  • Conference: September 26-30, 2010

TOPICS OF INTEREST

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 include (but are not limited to):

  • Case studies of recommender system implementations
  • Computational advertising
  • Conversational recommender systems
  • Context-aware and multidimensional recommender systems
  • Evaluation of recommender systems
  • Group recommenders
  • Impact of recommenders in practice
  • Innovative recommender applications
  • Machine learning and recommender systems
  • Novel paradigms of recommender systems
  • Personalization
  • Recommendation algorithms
  • Recommendation in social networks
  • Recommender system interfaces
  • Scalability issues
  • Security, privacy, and robustness
  • Semantic web technologies for recommender systems
  • Theoretical aspects of recommender systems
  • User modeling and recommender systems
  • User studies