Published 2013
| Version v2
Open dataset
Open
Movie Tweetings
Description
Description
MovieTweetings is a dataset consisting of ratings on movies that were contained in well-structured tweets on Twitter. The goal of this dataset is to provide the RecSys community with a live, natural and always up-to-date movie ratings dataset. The dataset will be updated as much as possible to incorporate rating data from the newest tweets available. The dataset includes 921,398 ratings from 71,707 unique users. The ratings contained in the tweets are scaled from 0 to 10, as is the norm on the IMDb platform.
Files
Files
(1.3 MB)
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md5:ddbc9a1005740505189cad62a786eb2a
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266.1 kB | Download |
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md5:be476d4ded618f2c9c57173e5737847d
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266.4 kB | Download |
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md5:988928bb29aeb678c400054ddafa6ced
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3.2 kB | Download |
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md5:4d5838e02645b9580287d9636d45bdc7
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254.4 kB | Download |
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md5:4559d0cb0a52ec2ab6da2932993340ad
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254.6 kB | Download |
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md5:3d422b35b4975028e5b2d0afcc5bcaf4
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3.2 kB | Download |
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md5:53b905f5cb7ff46c92399dd0228ab830
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262.3 kB | Download |
Variables
| Name | Description |
|---|---|
| userid | userid |
| twitter_id | twitter_id |
| movie_id | movie_id |
| movie_title (movie_year) | movie_title (movie_year), e.g., Pulp Fiction (1994) |
| genre|genre|genre | genre, e.g., Crime|Thriller |
| rating | rating, e.g., 9 |
| rating_timestamp | rating_timestamp, e.g., 1375657563 |
Details
| Resource type | Open dataset |
| Title | Movie Tweetings |
| Alternative title | MovieTweetings |
| Creators |
|
| Publisher | Workshop on Crowdsourcing and Human Computation for Recommender Systems, held in conjunction with the 7th ACM Conference on Recommender Systems |
| Year of publication | 2013 |
| Research fields | Business Administration Economics Psychology Sociology Political Science Economic & Social History Communication Sciences Educational Research Other |
| Companies | |
| Size | 0.026 GB |
| Formats | Comma-separated values (CSV) (.csv) |
| External resource | https://github.com/sidooms/MovieTweetings |