重复消耗矩阵数据集（包含用户消费的次数和物品）

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. 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. Citation Request: If you have no special citation requests, please leave this field blank.