---
title: "Netflix Prize: papers using this data, journals and trends"
description: "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)."
url: https://scholar4ai.com/datasets/netflix-prize
markdown_url: https://scholar4ai.com/datasets/netflix-prize.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Netflix Prize

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/5.md)

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

- data category: Online reviews, e-commerce and recommender data
- 0 papers in the last 7 days
- Names searched for: Netflix Prize

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Online reviews, e-commerce and recommender data datasets: https://scholar4ai.com/datasets/online-reviews-e-commerce-and-recommender-data.md



## 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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 12 | 11 | 10 | 33 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 9 | 7 | 6 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 2 | 0 | 1 | 4 | 10 | 10 | 9 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 6 |
| 2 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 4 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 3 |
| 4 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 3 |
| 5 | [AI & Society](https://scholar4ai.com/journals/ai-society.md) | 2 |
| 6 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2 |
| 7 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 1 |
| 8 | [International Journal of Research in Marketing](https://scholar4ai.com/journals/international-journal-of-research-in-marketing.md) | 1 |
| 9 | [Social Choice and Welfare](https://scholar4ai.com/journals/social-choice-and-welfare.md) | 1 |
| 10 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Erasmus University Rotterdam](https://scholar4ai.com/institutions/erasmus-university-rotterdam.md) | 3 |
| 2 | [University of Padua](https://scholar4ai.com/institutions/university-of-padua.md) | 3 |
| 3 | Universidade da Coruña | 2 |
| 4 | [University of Amsterdam](https://scholar4ai.com/institutions/university-of-amsterdam.md) | 2 |
| 5 | University of Klagenfurt | 2 |
| 6 | Bahçeşehir University | 1 |
| 7 | Bar-Ilan University | 1 |
| 8 | [Beijing Jiaotong University](https://scholar4ai.com/institutions/beijing-jiaotong-university.md) | 1 |
| 9 | Bilkent University | 1 |
| 10 | Boston College | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 8 |
| 2 | Netherlands | 5 |
| 3 | China | 4 |
| 4 | Spain | 4 |
| 5 | Italy | 4 |
| 6 | Turkey | 4 |
| 7 | United Kingdom | 3 |
| 8 | Austria | 2 |
| 9 | Germany | 2 |
| 10 | Hong Kong | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [recommender systems](https://scholar4ai.com/keywords/recommender-systems.md) | 10 |
| 2 | collaborative filtering | 3 |
| 3 | matrix completion | 3 |
| 4 | matrix factorization | 3 |
| 5 | personalized recommendation | 3 |
| 6 | cold start | 2 |
| 7 | convex optimization | 2 |
| 8 | data protection | 2 |
| 9 | differential privacy | 2 |
| 10 | e-commerce recommendation | 2 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 99 | 1.2 | [Automated Product Recommendations with Preference-Based Explanations](https://doi.org/10.1016/j.jretai.2020.01.001) | [Journal of Retailing](https://scholar4ai.com/journals/journal-of-retailing.md) | 2020-01-20 | André Marchand, Paul Marx |
| 2 | 70 | 3.0 | [A systematic literature review of recent advances on context-aware recommender systems](https://doi.org/10.1007/s10462-024-10939-4) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-11-16 | Pablo Mateos, Alejandro Bellogín |
| 3 | 36 | 0.7 | [Detecting shilling groups in online recommender systems based on graph convolutional network](https://doi.org/10.1016/j.ipm.2022.103031) | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 2022-08-02 | Shilei Wang, Peng Zhang, Hui Wang et al. |
| 4 | 21 | 0.6 | [Economic recommender systems – a systematic review](https://doi.org/10.1016/j.elerap.2023.101352) | [Electronic Commerce Research and Applications](https://scholar4ai.com/journals/electronic-commerce-research-and-applications.md) | 2023-12-20 | Alvise De Biasio, Nicolò Navarin, Dietmar Jannach |
| 5 | 21 | 0.7 | [Where’s Waldo? A framework for quantifying the privacy-utility trade-off in marketing applications](https://doi.org/10.1016/j.ijresmar.2024.05.003) | [International Journal of Research in Marketing](https://scholar4ai.com/journals/international-journal-of-research-in-marketing.md) | 2024-05-24 | Gilian R. Ponte, Jaap E. Wieringa, Tom Boot et al. |

## 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.

*What papers use Netflix Prize together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [MovieLens](https://scholar4ai.com/datasets/movielens.md) | Dataset | 15 | 107.8 |
| [Amazon reviews](https://scholar4ai.com/datasets/amazon-reviews.md) | Dataset | 8 | 44.5 |
| [Yelp](https://scholar4ai.com/datasets/yelp.md) | Dataset | 6 | 21.8 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 6 | 4.3 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 5 | 2.2 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 5 | 11.5 |
| [Location and social recommendation data (Gowalla, Foursquare, Yelp…](https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions.md) | Dataset | 5 | 31.9 |
| [Taobao / Tmall / JD.com](https://scholar4ai.com/datasets/taobao-tmall-jd-com.md) | Dataset | 4 | 18.3 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 4 | 1.2 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).