| Personalized explanations for hybrid recommender systems P Kouki, J Schaffer, J Pujara, J O'Donovan, L Getoor Proceedings of the 24th international conference on intelligent user …, 2019 | 208 | 2019 |
| Hyper: A flexible and extensible probabilistic framework for hybrid recommender systems P Kouki, S Fakhraei, J Foulds, M Eirinaki, L Getoor Proceedings of the 9th ACM Conference on Recommender Systems, 99-106, 2015 | 150 | 2015 |
| User preferences for hybrid explanations P Kouki, J Schaffer, J Pujara, J O'Donovan, L Getoor Proceedings of the Eleventh ACM Conference on Recommender Systems, 84-88, 2017 | 92 | 2017 |
| A fairness-aware hybrid recommender system G Farnadi, P Kouki, SK Thompson, S Srinivasan, L Getoor arXiv preprint arXiv:1809.09030, 2018 | 72 | 2018 |
| Generating and understanding personalized explanations in hybrid recommender systems P Kouki, J Schaffer, J Pujara, J O’Donovan, L Getoor ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (4), 1-40, 2020 | 37 | 2020 |
| Collective entity resolution in familial networks P Kouki, J Pujara, C Marcum, L Koehly, L Getoor 2017 IEEE International Conference on Data Mining (ICDM), 227-236, 2017 | 34 | 2017 |
| From the lab to production: A case study of session-based recommendations in the home-improvement domain P Kouki, I Fountalis, N Vasiloglou, X Cui, E Liberty, K Al Jadda Proceedings of the 14th ACM conference on recommender systems, 140-149, 2020 | 30 | 2020 |
| Collective entity resolution in multi-relational familial networks P Kouki, J Pujara, C Marcum, L Koehly, L Getoor Knowledge and Information Systems 61, 1547-1581, 2019 | 25 | 2019 |
| Product collection recommendation in online retail P Kouki, I Fountalis, N Vasiloglou, N Yan, U Ahsan, KA Jadda, H Qu Proceedings of the 13th ACM Conference on Recommender Systems, 486-490, 2019 | 19 | 2019 |
| Named entity recognition in long documents: an end-to-end case study in the legal domain H Keshavarz, Z Vagena, P Kouki, I Fountalis, M Mabrouki, A Belaweid, ... 2022 IEEE International Conference on Big Data (Big Data), 2024-2033, 2022 | 9 | 2022 |
| Natural language processing for recommender systems OS Shalom, H Roitman, P Kouki Recommender Systems Handbook, 447-483, 2021 | 9 | 2021 |
| Entity resolution in familial networks P Kouki, C Marcum, L Koehly, L Getoor Proceedings of the 12th workshop on mining and learning with graphs, 2016 | 7 | 2016 |
| Sharing of Semantically Enhanced Information for the Adaptive Execution of Business Processes P Kouki arXiv preprint arXiv:1304.2326, 2013 | 2 | 2013 |
| RecSys 2023 Chairs' Welcome J Zhang, L Chen, S Berkovsky, M Zhang, T Di Noia, J Basilico, L Pizzato, ... 17th ACM Conference on Recommender Systems, RecSys 2023, iii-v, 2023 | | 2023 |
| Resolution, Recommendation, and Explanation in Richly Structured Social Networks P Kouki University of California, Santa Cruz, 2018 | | 2018 |
| HyPER P Kouki, S Fakhraei, J Foulds, M Eirinaki, L Getoor Proceedings of the 9th ACM Conference on Recommender Systems, 2015 | | 2015 |
| Distributed and Adaptive Business Process Execution M Pantazoglou, G Athanasopoulos, A Tsalgatidou, P Kouki | | 2014 |
| Distributed and Adaptive Business Process Execution: A Scalable and Performant Solution Architecture M Pantazoglou, G Athanasopoulos, A Tsalgatidou, P Kouki Handbook of Research on Architectural Trends in Service-Driven Computing, 44-75, 2014 | | 2014 |
| Adaptable Environmental Service Chains: The Challenges of Distributed Execution and Information Collection G Athanasopoulos, A Tsalgatidou, P Kouki, I Pogkas, M Pantazoglou | | |
| Supplemental Material: User Preferences for Hybrid Explanations P Kouki, J Schaffer, J Pujara, J O’Donovan, L Getoor | | |