no code implementations • 3 Dec 2023 • Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang
To bridge these gaps, we introduce NLEBench, a comprehensive benchmark tailored for evaluating natural language generation capabilities in Norwegian, a low-resource language.
1 code implementation • 5 Nov 2021 • Simen Eide, Arnoldo Frigessi, Helge Jenssen, David S. Leslie, Joakim Rishaug, Sofie Verrewaere
Although the usage of exposure data in recommender systems is growing, to our knowledge there is no open large-scale recommender systems dataset that includes the slates of items presented to the users at each interaction.
2 code implementations • 30 Apr 2021 • Simen Eide, David S. Leslie, Arnoldo Frigessi
We introduce a variational Bayesian Recurrent Neural Net recommender system that acts on time series of interactions between the internet platform and the user, and which scales to real world industrial situations.
no code implementations • 6 Sep 2018 • Simen Eide, Ning Zhou
Recommendations are broadly used in marketplaces to match users with items relevant to their interests and needs.
no code implementations • 6 Sep 2018 • Simen Eide, Audun M. Øygard, Ning Zhou
Recommendation algorithms are widely adopted in marketplaces to help users find the items they are looking for.