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Simen Eide
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2020 – today
- 2024
- [c4]Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. EMNLP 2024: 5543-5560 - [i6]Simen Eide, Arnoldo Frigessi:
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-task Large Language Models. CoRR abs/2407.15857 (2024) - 2023
- [j2]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide:
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. SIGIR Forum 57(2): 15:1-15:4 (2023) - [c3]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang:
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). RecSys 2023: 1263-1266 - [i5]Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. CoRR abs/2312.01314 (2023) - 2022
- [j1]Simen Eide, David S. Leslie, Arnoldo Frigessi:
Dynamic slate recommendation with gated recurrent units and Thompson sampling. Data Min. Knowl. Discov. 36(5): 1756-1786 (2022) - 2021
- [c2]Simen Eide, David S. Leslie, Arnoldo Frigessi, Joakim Rishaug, Helge Jenssen, Sofie Verrewaere:
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. RecSys 2021: 556-558 - [i4]Simen Eide, David S. Leslie, Arnoldo Frigessi:
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling. CoRR abs/2104.15046 (2021) - [i3]Simen Eide, Arnoldo Frigessi, Helge Jenssen, David S. Leslie, Joakim Rishaug, Sofie Verrewaere:
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research. CoRR abs/2111.03340 (2021)
2010 – 2019
- 2018
- [c1]Simen Eide, Ning Zhou:
Deep neural network marketplace recommenders in online experiments. RecSys 2018: 387-391 - [i2]Simen Eide, Ning Zhou:
Deep neural network marketplace recommenders in online experiments. CoRR abs/1809.02130 (2018) - [i1]Simen Eide, Audun M. Øygård, Ning Zhou:
Five lessons from building a deep neural network recommender. CoRR abs/1809.02131 (2018)
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