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EB-NeRD: a large-scale dataset for news recommendation

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Summary

EB-NeRD: a large-scale dataset for news recommendation is a conference paper[1].

Key Facts

  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Johannes Kruse[2].
  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Saikishore Kalloori[3].
  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Marco Polignano[4].
  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Claudio Pomo[5].
  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Abhishek Srivastava[6].
  • EB-NeRD: a large-scale dataset for news recommendation authored a large-scale dataset for news recommendation — author (P50): Michael Riis Andersen[7].
  • EB-NeRD: a large-scale dataset for news recommendation's instance of is recorded as a large-scale dataset for news recommendation — instance of (P31): conference paper[8].
  • EB-NeRD: a large-scale dataset for news recommendation's page is recorded as 1-11[9].
  • EB-NeRD: a large-scale dataset for news recommendation's DOI is recorded as 10.1145/3687151.3687152[10].
  • EB-NeRD: a large-scale dataset for news recommendation's language of work or name is recorded as a large-scale dataset for news recommendation — language of work or name (P407): English[11].
  • EB-NeRD: a large-scale dataset for news recommendation's publication date is recorded as +2024-10-14T00:00:00Z[12].
  • EB-NeRD: a large-scale dataset for news recommendation's arXiv ID is recorded as 2410.03432[13].
  • EB-NeRD: a large-scale dataset for news recommendation's official website is recorded as https://dl.acm.org/doi/10.1145/3687151.3687152[14].
  • EB-NeRD: a large-scale dataset for news recommendation's main subject is recorded as a large-scale dataset for news recommendation — main subject (P921): recommender system[15].
  • EB-NeRD: a large-scale dataset for news recommendation's main subject is recorded as a large-scale dataset for news recommendation — main subject (P921): news[16].
  • EB-NeRD: a large-scale dataset for news recommendation's main subject is recorded as a large-scale dataset for news recommendation — main subject (P921): data set[17].
  • EB-NeRD: a large-scale dataset for news recommendation's main subject is recorded as a large-scale dataset for news recommendation — main subject (P921): Ekstra Bladet News Recommendation Dataset[18].
  • EB-NeRD: a large-scale dataset for news recommendation's number of pages is recorded as {'unit': '1', 'amount': '+11'}[19].
  • EB-NeRD: a large-scale dataset for news recommendation's published in is recorded as a large-scale dataset for news recommendation — published in (P1433): Proceedings of the Recommender Systems Challenge 2024[20].
  • EB-NeRD: a large-scale dataset for news recommendation's title is recorded as EB-NeRD: a large-scale dataset for news recommendation[21].
  • EB-NeRD: a large-scale dataset for news recommendation's author name string is recorded as Anshuk Uppal[22].
  • EB-NeRD: a large-scale dataset for news recommendation's cites work is recorded as a large-scale dataset for news recommendation — cites work (P2860): Analyzing User Modeling on Twitter for Personalized News Recommendations[23].
  • EB-NeRD: a large-scale dataset for news recommendation's cites work is recorded as a large-scale dataset for news recommendation — cites work (P2860): RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations[24].
  • EB-NeRD: a large-scale dataset for news recommendation's Google Scholar paper ID is recorded as 14241130953704153389[25].
  • EB-NeRD: a large-scale dataset for news recommendation's describes a project that uses is recorded as a large-scale dataset for news recommendation — describes a project that uses (P4510): Ekstra Bladet News Recommendation Dataset[26].

Body

Designation and Status

EB-NeRD: a large-scale dataset for news recommendation's instance of is recorded as a large-scale dataset for news recommendation — instance of (P31): conference paper[8].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [8] ↑ . Crossref. Retrieved . wikidata.org.
  2. [2] ↑ . Crossref. Retrieved . wikidata.org.
  3. [3] ↑ . Crossref. Retrieved . wikidata.org.
  4. [4] ↑ . Crossref. Retrieved . wikidata.org.
  5. [5] ↑ . Crossref. Retrieved . wikidata.org.
  6. [6] ↑ . Crossref. Retrieved . wikidata.org.
  7. [7] ↑ . Crossref. Retrieved . wikidata.org.
  8. [9] ↑ . Crossref. Retrieved . wikidata.org.
  9. [10] ↑ . Crossref. Retrieved . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . Crossref. Retrieved . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . Crossref. Retrieved . wikidata.org.
  21. [22] ↑ . Crossref. Retrieved . wikidata.org.
  22. [23] ↑ . wikidata.org.
  23. [24] ↑ . wikidata.org.
  24. [25] ↑ . wikidata.org.
  25. [26] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). EB-NeRD: a large-scale dataset for news recommendation. Retrieved May 3, 2026, from https://4ort.xyz/entity/eb-nerd-a-large-scale-dataset-for-news-recommendation
MLA “EB-NeRD: a large-scale dataset for news recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/eb-nerd-a-large-scale-dataset-for-news-recommendation.
BibTeX @misc{4ortxyz_eb-nerd-a-large-scale-dataset-for-news-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EB-NeRD: a large-scale dataset for news recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/eb-nerd-a-large-scale-dataset-for-news-recommendation}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EB-NeRD: a large-scale dataset for news recommendation — https://4ort.xyz/entity/eb-nerd-a-large-scale-dataset-for-news-recommendation (retrieved 2026-05-03)

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