Keynote: Prof. Bamshad Mobasher




  • 14:00-14:50 Opening and Keynote by Prof. Mobasher

Session 1

  • 14:50-15:10 Do Better ImageNet Models Transfer Better … for Image Recommendation?
    • Felipe del Rio, Pablo Messina, Vicente Domínguez and Denis Parra
    • Link to paper
  • 15:10-15:30 A Hybrid Variational Autoencoder for Collaborative Filtering
    • Kilol Gupta, Mukund Yelahanka Raghuprasad and Pankhuri Kumar

15:30-16:00 Coffee Break

16:00-17:30 Session 2

  • 16:00-16:30 Inferring Complementary Products from Baskets and Browsing Sessions
    • Ilya Trofimov
  • 16:30-17:00 A novel approach for venue recommendation using cross-domain techniques
    • Pablo Sánchez and Alejandro Bellogin
  • 17:00-17:30 Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks
    • Farzad Eskandanian and Bamshad Mobasher