Amazon Movies and TV Reviews

Undirected bipartite user-product review network for Movies and TV on Amazon. Users are linked to products they reviewed; edge weights are normalised star ratings.

npx keepset fetch amazon-movies-tv

Nodes: 2,289,561
Edges: 4,607,047
Size: 178.8 MiB

Fetch and preview this dataset on this page, or download the result as JSON. The command line fetches it without a browser.

Overview

Id	`amazon-movies-tv`
Category	`graph/v1`
Kind	graph
Domain	Product recommendation network
Licence	not recorded by the source
Catalogue	`keepset` 1.33.0

Sources and provenance

#	URL	Status	Retrieved	Read by recipe	Pinned snapshot	SHA-256
0	https://snap.stanford.edu/data/amazon/productGraph/categoryFiles/ratings_Movies_and_TV.csv	live	2026-03-27	yes	20251215134631raw	`05fd3bbb387b`

Citations

McAuley, Julian, Targett, Christopher, Shi, Qinfeng, van den Hengel, Anton (2015). Image-Based Recommendations on Styles and Substitutes. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Recipe

Source	#0
Archive	none
Parser format	`"user-item-ratings"`
Parser encoding	`"utf-8"`
Parser delimiter	`"comma"`
Parser skipLines	`0`
Parser itemType	`"product"`
Parser maxRating	`5`

Crosswalk

keepset/rated to graph/v1, as a crossmap crosswalk.

Rule	From	To	Direction
move	`meta`	`meta`	both
move	`nodes[].id`	`nodes[].id`	both
move	`edges[].source`	`edges[].source`	both
move	`edges[].target`	`edges[].target`	both
move	`nodes[].type`	`nodes[].type`	both
move	`edges[].type`	`edges[].type`	both
move	`edges[].weight`	`edges[].weight`	both
move	`edges[].timestamp`	`edges[].timestamp`	both

Expected counts

Edges	4,607,047
Nodes	2,289,561

Properties

Components	19,678
Connected	no
Cyclic	yes
Density	0.000001758
Directed	no
Download bytes	178.8 MiB
Edge types	1
Heterogeneous	yes
Multigraph	no
Node types	2
Raw bytes	0 B
Self loops	no
Weighted	yes