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Dimitris Paraschakis
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2020 – today
- 2024
- [c8]Dimitris Paraschakis, Rasmus Ros, Markus Borg, Per Runeson:
FuseRank (Demo): Filtered Vector Search in Multimodal Structured Data. ECML/PKDD (8) 2024: 404-408 - 2020
- [b1]Dimitris Paraschakis:
Sociotechnical Aspects of Automated Recommendations: Algorithms, Ethics, and Evaluation. Malmö University, Sweden, 2020 - [j1]Björn Brodén, Mikael Hammar, Bengt J. Nilsson, Dimitris Paraschakis:
A Bandit-Based Ensemble Framework for Exploration/Exploitation of Diverse Recommendation Components: An Experimental Study within E-Commerce. ACM Trans. Interact. Intell. Syst. 10(1): 4:1-4:32 (2020) - [c7]Dimitris Paraschakis, Bengt J. Nilsson:
Matchmaking Under Fairness Constraints: A Speed Dating Case Study. BIAS 2020: 43-57 - [c6]Dimitris Paraschakis, Bengt J. Nilsson:
FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode. PAKDD (1) 2020: 65-77
2010 – 2019
- 2018
- [c5]Björn Brodén, Mikael Hammar, Bengt J. Nilsson, Dimitris Paraschakis:
Ensemble Recommendations via Thompson Sampling: an Experimental Study within e-Commerce. IUI 2018: 19-29 - 2017
- [c4]Dimitris Paraschakis:
Towards an ethical recommendation framework. RCIS 2017: 211-220 - [c3]Björn Brodén, Mikael Hammar, Bengt J. Nilsson, Dimitris Paraschakis:
Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract. RecSys 2017: 349 - 2016
- [c2]Dimitris Paraschakis:
Recommender Systems from an Industrial and Ethical Perspective. RecSys 2016: 463-466 - 2015
- [c1]Dimitris Paraschakis, Bengt J. Nilsson, John Hollander:
Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective. ICMLA 2015: 1024-1031
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last updated on 2024-09-13 00:43 CEST by the dblp team
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