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Repeat Consumption Matrices Data Set
Download: Data Folder, Data Set Description
Abstract: 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.
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Data Set Characteristics: |
Multivariate |
Number of Instances: |
130000 |
Area: |
Computer |
Attribute Characteristics: |
Real |
Number of Attributes: |
21000 |
Date Donated |
2018-03-22 |
Associated Tasks: |
Clustering |
Missing Values? |
N/A |
Number of Web Hits: |
24838 |
Source:
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]∼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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