RecTemp 2017
Temporal Reasoning in Recommender Systems

Table of Contents

• Preface
  
  

Session 1

• Beyond User Preferences: The Short-Term Behaviour Modelling 1-3
  Michal Kompan, Ondrej Kassak, Maria Bielikova
• On the Decaying Utility of News Recommendation Models 4-8
  Benjamin Kille, Sahin Albayrak
• Leveraging User-Interactions for Time-Aware Tag Recommendations 9-15
  Daniel Zoller, Stephan Doerfel, Christian Pölitz, Andreas Hotho

Session 2

• Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups 16-20
  Bruce Ferwerda, Marko Tkalcic, Markus Schedl
• TCNSVD: A Temporal and Community-Aware Recommender Approach 21-27
  Mohsen Shahriari, Martin Barth, Ralf Klamma, Christoph Trattner
• Online Ranking Prediction in Non-stationary Environments 28-34
  Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr
• Accurate and Diverse Recommendation based on Users’ Tendencies toward Temporal Item Popularity 35-39
  Koki Nagatani, Masahiro Sato

Session 3

• Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios 40-44
  Alejandro Bellogín, Pablo Sánchez
• An LSTM-Based Dynamic Customer Model for Fashion Recommendation 45-49
  Sebastian Heinz, Christian Bracher, Roland Vollgraf
• A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation 50-56
  Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig
• Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks 57-59
  Veronika Bogina, Tsvi Kuflik