![](https://dblp.uni-trier.de./img/logo.320x120.png)
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
RecTemp@RecSys 2017: Como, Italy
- Mária Bieliková, Veronika Bogina, Tsvi Kuflik, Roy Sasson:
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. CEUR Workshop Proceedings 1922, CEUR-WS.org 2017
Session 1
- Michal Kompan, Ondrej Kassák, Mária Bieliková:
Beyond User Preferences: The Short-Term Behaviour Modelling. 1-3 - Benjamin Kille, Sahin Albayrak:
On the Decaying Utility of News Recommendation Models. 4-8 - Daniel Zoller, Stephan Doerfel, Christian Pölitz, Andreas Hotho:
Leveraging User-Interactions for Time-Aware Tag Recommendations. 9-15
Session 2
- Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. 16-20 - Mohsen Shahriari, Martin Barth, Ralf Klamma, Christoph Trattner:
TCNSVD: A Temporal and Community-Aware Recommender Approach. 21-27 - Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Online Ranking Prediction in Non-stationary Environments. 28-34 - Koki Nagatani, Masahiro Sato:
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity. 35-39
Session 3
- Alejandro Bellogín, Pablo Sánchez:
Revisiting Neighbourhood-Based Recommenders For Temporal Scenarios. 40-44 - Sebastian Heinz, Christian Bracher, Roland Vollgraf:
An LSTM-Based Dynamic Customer Model for Fashion Recommendation. 45-49 - Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig:
A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. 50-56 - Veronika Bogina, Tsvi Kuflik:
Incorporating Dwell Time in Session-Based Recommendations with Recurrent Neural Networks. 57-59
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.