RecTemp@RecSys

Publications

2017

Sebastian Heinz, Christian Bracher, Roland Vollgraf
An LSTM-Based Dynamic Customer Model for Fashion Recommendation. RecTemp@RecSys (2017)
Mohsen Shahriari, Martin Barth, Ralf Klamma, Christoph Trattner
TCNSVD: A Temporal and Community-Aware Recommender Approach. RecTemp@RecSys (2017)
Alejandro Bellogín, Pablo Sánchez
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. RecTemp@RecSys (2017)
Michal Kompan, Ondrej Kassák, Mária Bieliková
Beyond User Preferences: The Short-Term Behaviour Modelling. RecTemp@RecSys (2017)
Benjamin Kille, Sahin Albayrak
On the Decaying Utility of News Recommendation Models. RecTemp@RecSys (2017)
Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig
A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. RecTemp@RecSys (2017)
Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys (2017)
Veronika Bogina, Tsvi Kuflik
Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks. RecTemp@RecSys (2017)
Bruce Ferwerda, Marko Tkalcic, Markus Schedl
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. RecTemp@RecSys (2017)
Koki Nagatani, Masahiro Sato
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity. RecTemp@RecSys (2017)
Daniel Zoller, Stephan Doerfel, Christian Pölitz, Andreas Hotho
Leveraging User-Interactions for Time-Aware Tag Recommendations. RecTemp@RecSys (2017)

volume 1922, 2017

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27-31, 2017. RecTemp@RecSys 1922 (2017)