Simen Eide

According to our database, Simen Eide authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, Lemei Zhang, Simen Eide

SIGIR Forum, December, 2023

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.

Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang

CoRR, 2023

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23).

Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Dynamic slate recommendation with gated recurrent units and Thompson sampling.

Simen Eide, David S. Leslie, Arnoldo Frigessi

Data Min. Knowl. Discov., 2022

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

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2018

Five lessons from building a deep neural network recommender.

Simen Eide, Audun M. Øygård, Ning Zhou

CoRR, 2018

Deep neural network marketplace recommenders in online experiments.

Simen Eide, Ning Zhou

Proceedings of the 12th ACM Conference on Recommender Systems, 2018