| Deep neural network marketplace recommenders in online experiments S Eide, N Zhou Proceedings of the 12th ACM conference on recommender systems, 387-391, 2018 | 18 | 2018 |
| Finn. no slates dataset: A new sequential dataset logging interactions, all viewed items and click responses/no-click for recommender systems research S Eide, DS Leslie, A Frigessi, J Rishaug, H Jenssen, S Verrewaere Proceedings of the 15th ACM Conference on Recommender Systems, 556-558, 2021 | 10 | 2021 |
| Dynamic slate recommendation with gated recurrent units and Thompson sampling S Eide, DS Lesie, A Frigessi Data Mining and Knowledge Discovery, 2022 | 3 | 2022 |
| Five lessons from building a deep neural network recommender for marketplaces S Eide, AM Øygard, N Zhou ACM KDD 18, 2018 | 3* | 2018 |
| NLEBench+ NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian P Liu, L Zhang, TN Farup, EW Lauvrak, JE Ingvaldsen, S Eide, JA Gulla, ... arXiv preprint arXiv:2312.01314, 2023 | 2 | 2023 |
| Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023 B Kille, A Lommatzsch, Ö Özgöbek, P Liu, L Zhang, S Eide ACM SIGIR Forum 57 (2), 1-4, 2024 | | 2024 |
| The Eleventh International Workshop on News Recommendation and Analytics (INRA’23) B Kille, A Lommatzsch, Ö Özgöbek, P Liu, S Eide, L Zhang Proceedings of the 17th ACM Conference on Recommender Systems, 1263-1266, 2023 | | 2023 |
| Liquidity risk and valuation: Valuing and assessing risk in an illiquid market S Eide | | 2014 |
Ning ZhouMicrosoftVerified email at microsoft.com
