Deep neural network marketplace recommenders in online experiments. - Simen Eide; Ning Zhou (RecSys, 2018)

Five lessons from building a deep neural network recommender. - Simen Eide; Audun M. Øygård; Ning Zhou (CoRR, 2018)

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. - Simen Eide; David S. Leslie; Arnoldo Frigessi; Joakim Rishaug; Helge Jenssen; Sofie Verrewaere (RecSys, 2021)

FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research. - Simen Eide; Arnoldo Frigessi; Helge Jenssen; David S. Leslie; Joakim Rishaug; Sofie Verrewaere (CoRR, 2021)

Dynamic slate recommendation with gated recurrent units and Thompson sampling. - Simen Eide; David S. Leslie; Arnoldo Frigessi (Data Min. Knowl. Discov., 2022)

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Simen Eide; Lemei Zhang (RecSys, 2023)

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Lemei Zhang; Simen Eide (SIGIR Forum, 2023)

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. - Peng Liu 025; Lemei Zhang; Terje Nissen Farup; Even W. Lauvrak; Jon Espen Ingvaldsen; Simen Eide; Jon Atle Gulla; Zhirong Yang (EMNLP, 2024)

BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-task Large Language Models. - Simen Eide; Arnoldo Frigessi (NLDL, 2025)