Simen Eide

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

News Recommendation

Contextual Bandit

Top Venues

Data Min. Knowl. Discov.

Publications

Simen Eide, Arnoldo Frigessi
BoRA: Bayesian Hierarchical Low-Rank Adaption for Multi-task Large Language Models. CoRR (2024)
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) (2023)
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)
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 (2023)
Simen Eide, David S. Leslie, Arnoldo Frigessi
Dynamic slate recommendation with gated recurrent units and Thompson sampling. Data Min. Knowl. Discov. 36 (5) (2022)
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 (2021)
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)
Simen Eide, David S. Leslie, Arnoldo Frigessi
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling. CoRR (2021)
Simen Eide, Ning Zhou
Deep neural network marketplace recommenders in online experiments. RecSys (2018)
Simen Eide, Ning Zhou
Deep neural network marketplace recommenders in online experiments. CoRR (2018)
Simen Eide, Audun M. Øygård, Ning Zhou
Five lessons from building a deep neural network recommender. CoRR (2018)