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RecSys@FLAIRS 2017 : Recommender Systems Special Track at the International FLAIRS Conference

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Link: https://flairsrecsys.wordpress.com/
 
When May 22, 2017 - May 24, 2017
Where Marco Island
Submission Deadline Nov 21, 2016
Notification Due Jan 23, 2017
Final Version Due Feb 27, 2017
Categories    artificial intelligence   recommender systems   computer science   machine learning
 

Call For Papers

Recommender systems (RecSys) are being used to suggest products to customers, provide personalized product
information, or even to provide products' reviews. These systems recommend items among a huge number of
possibilities and according to users' interests. Recommender Systems have also been proposed to support the
information selection and decision making processes on ecommerce
web sites. The goal of this new special
track is to provide a forum for researchers and practitioners to share their efforts in addressing current issues,
challenges, novel approaches, and applications within the broad scope of recommender systems.
Papers and contributions are encouraged for any work relating to Recommender Systems. Topics of interest
may include (but are in no way limited to):
o Recommendation Algorithms
o Machine Learning for Recommendation
o MultiAgent
Recommender Systems
o Group Recommendations
o Recommendations and Social Networks, Social Recommenders
o Contextaware
recommenders
o Preference elicitation
o Personalization
o Trust and Recommendations
o Privacy and Security
o Robustness
o Evaluation metrics and studies
o Novel paradigms (Affective computing, sentiment analysis, ...)
o User modelling
o Recommender system user interfaces
o User studies, online user experiments
o Case studies of real world implementations

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FAIML 2020-Ei Compendex & Scopus 2020   2020 2nd International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2020)
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AIFU 2020   6th International Conference on Artificial Intelligence and Applications
FLAIRS 2020   The 33rd International FLAIRS Conference
COMIT 2020   4th International Conference on Computer Science and Information Technology