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Product Recommendation datasets

archive 2025-07-28

8 datasets carry the task tag "Product Recommendation" (the task itself: Product Recommendation), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. 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 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Product Recommendation datasets 1–8 of 8

EXTREME CLASSIFICATION (Extreme Multi-label Classification)
The objective in extreme multi-label classification is to learn feature architectures and classifiers that can automatically tag a data point with the most relevant subset of labels from an extremely large label set.
18 papers · 0 benchmarks
A dataset containing 404,683 shop photos collected from 25 different online retailers and 20,357 street photos, providing a total of 39,479 clothing item matches between street and shop photos.
15 papers · 1 benchmark
Logo-2K+:A Large-Scale Logo Dataset for Scalable Logo Classification The Logo-2K+ dataset contains a diverse range of logo classes from real-world logo images.
13 papers · 0 benchmarks
WANDS (Wayfair ANnotation Dataset)
The dataset contains: 42,994 candidate products with data comprising product class, title, description, attributes, category hierarchy, average rating, and number of reviews 480 search query strings with predicted product class 233,448…
8 papers · 0 benchmarks
Visuelle 2.0 is a dataset containing real data for 5355 clothing products of the retail fast-fashion Italian company, Nuna Lie.
4 papers · 2 benchmarks
The 2021 SIGIR workshop on eCommerce is hosting the Coveo Data Challenge for "In-session prediction for purchase intent and recommendations".
3 papers · 1 benchmark
LSEC (Live Stream E-Commerce)
The LSEC (Live Stream E-Commerce) dataset has two subsets: LSEC-Small and LSEC-Large.
1 paper · 0 benchmarks
The OTTO session dataset is a large-scale dataset intended for multi-objective recommendation research.
1 paper · 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.