Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
- Michalis Vlachos
- Celestine Mendler-Dünner
- et al.
- 2019
- IEEE TKDE
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7 results for Vasileios Vasileiadis
Fast, Transparent, and High-Fidelity Memoization Cache-Keys for Computational Workflows
- Vassilis Vassiliadis
- Michael A. Johnston
- et al.
- 2022
- SCC 2022
Reconet: An interpretable neural architecture for recommender systems
- Francesco Fusco
- Michalis Vlachos
- et al.
- 2019
- IJCAI 2019
Linear-complexity relaxed word Mover's distance with GPU acceleration
- Kubilay Atasu
- Thomas Parnell
- et al.
- 2017
- Big Data 2017
Improving co-cluster quality with application to product recommendations
- Michail Vlachos
- Francesco Fusco
- et al.
- 2014
- CIKM 2014
Toward interpretable predictive models in B2B recommender systems
- Michalis Vlachos
- Vasileios Vasileiadis
- et al.
- 2016
- IBM J. Res. Dev
On data publishing with clustering preservation
- Michalis Vlachos
- Johannes Schneider
- et al.
- 2015
- ACM TKDD