Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Netflix Prize

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data category: Online reviews, e-commerce and recommender data · 0 papers in the last 7 days

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Product and service reviews, ratings, purchases and user-item interactions.

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Names searched for: Netflix Prize

Key findings#

  • From Nov 2023 to Oct 2026, 33 archived papers mentioned Netflix Prize in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2023 (2).
  • No paper of the tracked journals mentioned Netflix Prize in the last 30 days (2026-10-07 to 2026-11-05).
  • From 2017 to 2026 (so far), Netflix Prize was mentioned in 36 papers in the tracked journals, most of them in AI (25), information systems (4) and marketing (2).
  • 10 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Erasmus University Rotterdam (3), University of Padua (3) and Universidade da Coruña (2).
  • The journals publishing most of them were Machine Learning (6), Knowledge-Based Systems (4) and Artificial Intelligence Review (3).
  • The most-cited of them is “Automated Product Recommendations with Preference-Based Explanations” (Journal of Retailing, 2020), with 99 citations.
  • Papers use Netflix Prize most often with MovieLens (15), Amazon reviews (8) and Yelp (6); it has 9 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
12111033

Papers per year#

2017: 0 papers2018: 0 papers2019: 0 papers2020: 2 papers2021: 0 papers2022: 1 paper2023: 4 papers2024: 10 papers2025: 10 papers2026 (so far): 9 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0000012976
Information Systems0000002011
Marketing0001000100
Statistics0001000010
Operations Research0000000001
Finance0000000010
Economics0000000001
All categories000201410109

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Erasmus University Rotterdam3
2University of Padua3
3Universidade da Coruña2
4University of Amsterdam2
5University of Klagenfurt2
6Bahçeşehir University1
7Bar-Ilan University1
8Beijing Jiaotong University1
9Bilkent University1
10Boston College1
Countries with the most papers, since 2023
#CountryPapers
1United States8
2Netherlands5
3China4
4Spain4
5Italy4
6Turkey4
7United Kingdom3
8Austria2
9Germany2
10Hong Kong2
Keywords with the most papers, since 2023
#KeywordPapers
1recommender systems10
2collaborative filtering3
3matrix completion3
4matrix factorization3
5personalized recommendation3
6cold start2
7convex optimization2
8data protection2
9differential privacy2
10e-commerce recommendation2

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Netflix Prize most often with MovieLens (15), Amazon reviews (8) and Yelp (6); it has 9 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok. The whole network →

What papers use Netflix Prize together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
MovieLensDataset15107.8
Amazon reviewsDataset844.5
YelpDataset621.8
YouTube / TikTokDataset64.3
FacebookDataset52.2
KaggleDataset511.5
Location and social recommendation data (Gowalla, Foursquare, Yelp…Dataset531.9
Taobao / Tmall / JD.comDataset418.3
Twitter / XDataset41.2
Cite this page

Scholar4AI. (2026). Netflix Prize. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/netflix-prize

@misc{scholar4ai-datasets-netflix-prize,
  author = {{Scholar4AI}},
  title = {Netflix Prize},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/netflix-prize}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).