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Data Preview ? 53.5M

    Data Structure ?


    Dimitrios Kotzias, dkotzias '@', 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.

    Attribute Information:

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

    Relevant Papers:

    Predicting Consumption Patterns with Repeated and Novel Events by Dimitrios Kotzias, Moshe Lichman and Padhraic Smyth.

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