Comparative Evaluation of Top-N Recommenders in e-Commerce: An Industrial Perspective. - Dimitris Paraschakis; Bengt J. Nilsson; John Hollander (ICMLA, 2015)

Recommender Systems from an Industrial and Ethical Perspective. - Dimitris Paraschakis (RecSys, 2016)

Towards an ethical recommendation framework. - Dimitris Paraschakis (RCIS, 2017)

Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract. - Björn Brodén; Mikael Hammar; Bengt J. Nilsson; Dimitris Paraschakis (RecSys, 2017)

Ensemble Recommendations via Thompson Sampling: an Experimental Study within e-Commerce. - Björn Brodén; Mikael Hammar; Bengt J. Nilsson; Dimitris Paraschakis (IUI, 2018)

Matchmaking Under Fairness Constraints: A Speed Dating Case Study. - Dimitris Paraschakis; Bengt J. Nilsson (BIAS, 2020)

FlowRec: Prototyping Session-Based Recommender Systems in Streaming Mode. - Dimitris Paraschakis; Bengt J. Nilsson (PAKDD (1), 2020)

A Bandit-Based Ensemble Framework for Exploration/Exploitation of Diverse Recommendation Components: An Experimental Study within E-Commerce. - Björn Brodén; Mikael Hammar; Bengt J. Nilsson; Dimitris Paraschakis (ACM Trans. Interact. Intell. Syst., 2020)

Sociotechnical Aspects of Automated Recommendations: Algorithms, Ethics, and Evaluation. - Dimitris Paraschakis (2020)

FuseRank (Demo): Filtered Vector Search in Multimodal Structured Data. - Dimitris Paraschakis; Rasmus Ros; Markus Borg; Per Runeson (ECML/PKDD (8), 2024)