Dimitrios Kotzias, dkotzias '@' ics.uci.edu, University of California Irvine
Data Set 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: [Web link]
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: [Web link]a??ocelma/[Web link]
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.
The attributes represent items (categories) that uses tend to select multiple times. These can be music artists, subreddits or locations on the map.
Predicting Consumption Patterns with Repeated and Novel Events by Dimitrios Kotzias, Moshe Lichman and Padhraic Smyth.
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