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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
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