Amazon Personalize - Paolo Cremonesi
March 12th, 2020
Abstract
Amazon Personalize is a new recommendation service launched in 2019 by Amazon which can easily be integrated into any enterprise looking to personalize their users’ experience. Amazon Personalize provides few predefined approaches, the most advanced one is the Hierarchical Recurrent Neural Network (HRNN).
This approach is based on a sophisticated deep learning technique developed by a team of researchers from DEIB coordinated by prof. Paolo Cremonesi, in cooperation with Telefonica (Spain) and GravityRD (Hungary).
More information on Amazon Personalize https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn.html
More information on the HRNN method https://arxiv.org/pdf/1706.04148.pdf
This approach is based on a sophisticated deep learning technique developed by a team of researchers from DEIB coordinated by prof. Paolo Cremonesi, in cooperation with Telefonica (Spain) and GravityRD (Hungary).
More information on Amazon Personalize https://docs.aws.amazon.com/personalize/latest/dg/native-recipe-hrnn.html
More information on the HRNN method https://arxiv.org/pdf/1706.04148.pdf