EB-NeRD comprises data from over 1 million unique users, with more than 37 million impression logs and over 251 million interactions from Ekstra Bladet. Alongside, we offer a collection of …

The Ekstra Bladet News Recommendation Dataset (EB-NeRD) is a large-scale Danish dataset created by Ekstra Bladet to support ad- vancements and benchmarking in news …

The dataset for the ACM RecSys Challenge 2024, named EB-NeRD, is a large-scale Danish dataset created by Ekstra Bladet to support advancements and benchmarking in News …

EB-NeRD dataset. This paper presents the solution developed by team “:D”, which secured the first place in the challenge. Our ap-proach combines Transformers, Gradient Boosting …

resources, please refer to the oRicial website recsys.eb.dk (“Website”). 2. Eligibility To ensure fair competition and compliance with legal and ethical standards, the following eligibility criteria …

The Ekstra Bladet News Recommendation Dataset (EB-NeRD) was created to support advancements in news recommendation research. It was collected from user behavior logs at …

(EB-NeRD), a comprehensive Danish dataset specifically designed for advancing news recommendation research. This dataset, pro-vided by Ekstra Bladet for the RecSys Challenge …

ekstrabladet.dk during a period of 6 weeks. The Dataset is made available in a machine-readable format and includes relevant metadata from the articles read during the period as well as the …

Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction RecSys Challenge ’24, October 14–18, 2024, Bari, Italy Figure 2: We utilize the multimodal …

abonnent (EB ID) Ikke abonnent (EB ID) Ikke abonnent (SSO ID) Ikke abonnent (SSO ID) Abonnent (SSO ID) Abonnent (SSO ID) Paid content (CTR) 0 10 20 30 40 50 60 70 Manuel …