Section: New Software and Platforms


Hybrid Recommender System

Functional Description

The motivation of this work is to explore solutions that could in some sense democratize personalization by making it accessible to any content provider company without generating huge investments. HyRec implements a user-based collaborative filtering scheme and offloads CPU-intensive recommendation tasks to front-end client browsers, while retaining storage and orchestration tasks within back-end servers. HyRec seeks to provide the scalability of p2p approaches without forcing content providers to give up the control of the system.

  • Participants: Antoine Boutet, Davide Frey, Anne Marie Kermarrec, Arnaud Jegou and Rachid Guerraoui

  • Contact: Davide Frey