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Hudup - A framework of e-commercial recommendation algorithms

Loc Nguyen

Project introduction is published in American Association for Science and Technology (AASCIT).
Project is accepted in European Project Space.
Trial version download.

Hudup Introduction

Hudup – the recommender framework dedicated to scientists and software developers who create or deploy recommendation solutions and algorithms in e-commerce and e-learning. Hudup is composed of three modules:

  • The infrastructure to set up recommendation algorithms.
  • The evaluation system to measure recommendation algorithms according to metrics.
  • The simulation environment to execute and test recommendation algorithms before deploying them in real-time applications.
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