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Recommendation Systems datasets

archive 2025-07-28

56 datasets carry the task tag "Recommendation Systems" (the task itself: Recommendation Systems), ordered by the archive's paper count. Page 2 of 2: 8 shown of 56. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Recommendation Systems datasets 49–56 of 56

Google Local review (Google Local Data)
Description This Dataset contains review information on Google map (ratings, text, images, etc.), business metadata (address, geographical info, descriptions, category information, price, open hours, and MISC info), and links (relative…
1 paper · 0 benchmarks
This is a real-world industrial benchmark dataset from a major medical device manufacturer for the prediction of customer escalations.
1 paper · 0 benchmarks
MerRec (MerRec Recommendation Dataset)
A large scale, C2C marketplace e-commerce dataset.
1 paper · 0 benchmarks
MuseChat Dataset (MuseChat: A Conversational Music Recommendation System for Videos (CVPR 2024 Highlight Paper))
Music recommendation for videos attracts growing interest in multi-modal research.
1 paper · 0 benchmarks
The OTTO session dataset is a large-scale dataset intended for multi-objective recommendation research.
1 paper · 0 benchmarks
an image cover dataset in short video recommendation
1 paper · 1 benchmark
AntM2C (Ant-Group Multi-Scenario Multi-Modal CTR dataset)
We release a large-scale Multi-Scenario Multi-Modal CTR dataset named AntM2C, built from real industrial data from Alipay.
0 papers · 0 benchmarks
X-Wines (A Wine Dataset for Recommender Systems and Machine Learning)
X-Wines is a consistent wine dataset containing 100,646 instances and 21 million real evaluations carried out by users.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.