Program
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09:00 - 09:30
Opening: A survey on temporal aspects in RS through 10 years of RecSys (slides)
09:30 – 11:00 Session I
09:30 - 09:45
Michal Kompan, Ondrej Kaššák and Maria Bielikova:
Beyond User Preferences: The Short-Term Behavior Modelling (slides)
09:50-10:05
Benjamin Kille and Sahin Albayrak:
On the Decaying Utility of News Recommendation Models (slides)
10:10 – 10:25
Daniel Zoller, Stephan Doerfel, Christian Pölitz and Andreas Hotho:
Leveraging User-Interactions for Time-Aware Tag Recommendations (slides)
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10:30 - 11:00 Coffee Break
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11:00-12:30 Session II
11:00-11:15
Bruce Ferwerda, Marko Tkalcic and Markus Schedl:
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups (slides)
11:20-11:35
Mohsen Shahriari, Martin Barth, Ralf Klamma and Christoph Trattner:
TCNSVD: A Temporal and Community-Aware Recommender Approach (slides)
11:40-11:55
Erzsébet Frigó Róbert Pálovics Domokos Kelen Levente Kocsis András A. Benczúr:
Online ranking prediction in non-stationary environments (slides)
12:00 - 12:15
Koki Nagatani and Masahiro Sato:
Accurate and Diverse Recommendation based on Users’ Tendencies toward Temporal Item Popularity (slides)
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12:30-13:30 Lunch
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13:30-15:30 Session III
13:30-13:45
Alejandro Bellogin and Pablo Sánchez:
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios (slides)
13:50-14:05
Sebastian Heinz, Christian Bracher and Roland Vollgraf:
An LSTM-Based Dynamic Customer Model for Fashion Recommendation (slides)
14:10-14:25
Iman Kamehkhosh, Dietmar Jannach and Malte Ludewig:
A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation (slides)
14:30-14:45
Veronika Bogina and Tsvi Kuflik
Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks (slides)
14:50 - 15:30
Discussion and closing remarks
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15:30 -16:00 Coffee Break