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Sequential Recommendation datasets

archive 2025-07-28

11 datasets carry the task tag "Sequential Recommendation" (the task itself: Sequential Recommendation), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. 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

Sequential Recommendation datasets 1–11 of 11

The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies.
1,246 papers · 17 benchmarks
Gowalla is a location-based social networking website where users share their locations by checking-in.
203 papers · 4 benchmarks
The Yelp Dataset is a valuable resource for academic research, teaching, and learning.
86 papers · 15 benchmarks
KuaiRand is an unbiased sequential recommendation dataset collected from the recommendation logs of the video-sharing mobile app, Kuaishou (快手).
42 papers · 1 benchmark
Amazon Review is a dataset to tackle the task of identifying whether the sentiment of a product review is positive or negative.
35 papers · 1 benchmark
Amazon Beauty (Amazon Beauty 5-core)
This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).
18 papers · 3 benchmarks
This datasets is a subset of the Amazon reviews dataset which contain Men related products
14 papers · 2 benchmarks
Amazon-Sports is a sub-category of the Amazon dataset, which contains a series of product reviews crawled from Amazon.com.
14 papers · 1 benchmark
an image cover dataset in short video recommendation
1 paper · 1 benchmark
The datasets of "Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation" (TNNLs 2022)
1 paper · 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.