Repeat Consumption Matrices

Donated on 3/21/2018

The dataset contains 7 datasets of User - Item matrices, where each entry represents how many times a user consumed an item. Item is used as an umbrella term for various categories.

Dataset Characteristics

Multivariate

Subject Area

Computer Science

Associated Tasks

Clustering

Feature Type

Real

# Instances

130000

# Features

21000

Dataset Information

Additional Information

There are 7 datasets from Reddit, Twitter, Gowalla and Lastfm. Each matrix contains how many times a user 'consumed' and item. Items can be locations, artists, or subreddits. Details about each dataset are presented below. (In the parenthesis is the number of Users x Items) tw_oc (13k x 11k): tweets with geolocation from Orange County CA area. Items are locations a user visits in this case. tw_ny (30k x 11k): Same as tw_oc but from the New York area. go_sf (2k x 7k): Check-ins from the app Gowalla, from the San Fransisco area. Full dataset here: https://snap.stanford.edu/data/loc-gowalla.html go_ny (1k x 7k): Same as go_sf, but from the New York area. lastfm (992 x 15k): How many times, a user listened to each artist. Covers 3 years of listening habbits, full dataset here: http://www.dtic.upf.edu/∼ocelma/MusicRecommendationDataset/lastfm-1K.html reddit_top (113k x 21k): How many times a user posted in a subreddit. These are the 130k most active users from 2015 and 20k most subscribed subreddits. This dataset is very large and can take a lot of time to load/use. reddit_sample (20k x 21k): Same as reddit_top, but a sample of 20k users.

Has Missing Values?

No

Variable Information

The attributes represent items (categories) that uses tend to select multiple times. These can be music artists, subreddits or locations on the map.

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Creators

Dimitrios Kotzias

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