Demos

The following demos will be presented during the conference.

• GAIN: web service for user tracking and preference learning – a SMART TV use case
  by Jaroslav Kuchar and Tomas Kliegr
• PEN recsys: a Personalized News Recommender Systems Framework
  by Florent Garcin and Boi Faltings
• GraphRM: A Heterogeneous Graph-based Recommender System Manager
  by Yeonchan Ahn, Sungchan Park and Sang-goo Lee
• Design and Evaluation of a Client-side Recommender System
  by Chris Newell and Libby Miller
• Sage – Recommender Engine as a Cloud Service
  by Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari and Neta Haiby-Weiss