AAAI Publications, The Thirty-First International Flairs Conference

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Special Track on Recommender Systems
Nadia Najjar, Yong Zheng

Last modified: 2018-05-10


Recommender systems are being used to suggest products to customers, provide personalized product information, and even to provide product reviews. ese systems recommend items among a huge number of possibilities according to users' interests. Recommender systems have al- so been proposed to support the information selection and decision-making processes on e-com- merce web sites. is is the fourth recommender systems special track running in parallel with FLAIRS. The goal of this new special track has been to provide a forum for researchers and practitioners to share their e orts in addressing current issues, challenges, novel approaches, and applica- tions within the broad scope of recommender systems. We continue to aim to cover a wide variety of research areas where recommender systems may be researched and applied.

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