Slides about mining cross-domain ratings presented at the WWW 2014 conference on April 8, in Seoul (Korea) by Simon Dooms.

1. Mining Cross-Domain Rating Datasets
from Structured Data on Twitter
@sidooms
Simon Dooms

2. Rating Datasets
 What are ratings? Explicit user preference information
 Why ratings? Recommender systems
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 2

3. Rating Datasets
 What are ratings? Explicit user preference information
 Why ratings? Recommender systems
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 3

4. Ratings Scarcity in Research
 Ratings = private data
 Public datasets to the rescue?
– MovieLens 100K (1998)
– MovieLens 1M (2000)
– MovieLens 10M (2008)
– More on recsyswiki.com
Old, Synthetic Datasets
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 4

5. Social Sharing = Ratings Goldmine
 Previous research: MovieTweetings
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 5

6. Social Sharing = Ratings Goldmine
 Previous research: MovieTweetings
– Movie Rating dataset from IMDb – Twitter
– https://github.com/sidooms/MovieTweetings
 What about other domains? Websites?
Well, let’s try it out!
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 6

7. Target Websites - Goodreads
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 7
Twitter user - Rating - Book title
Book author - Goodreads URL - Time

8. Target Websites - Pandora
ConclusionCross-DomainResultsSocial SharingIntro
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Twitter user - Song
Pandora URL - Time

9. Target Websites - YouTube
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 9
Twitter user - (Video uploader)
YouTube URL - Time

10. Mining Experiment
 But words are wind…
– 2 Weeks experiment
– 4 Online platforms
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 10

12. ConclusionCross-DomainResultsSocial SharingIntro
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Python code + Task Scheduler = Dataset files
https://github.com/sidooms/Twitter-ratings

13. The Numbers
One more thing …
ConclusionCross-DomainResultsSocial SharingIntro
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14. Cross-Domain Rating Dataset
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 14

15. Applications
 Collect ratings for recsys research / input
 Cross-domain recsys research
 Trend detection, analytics, ...
 Applicable for all social sharing webs
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 15

16. Conclusions
 Ratings scarcity in research
 Public dataset are old and synthetic
 Social sharing = ratings goldmine
 2 week experiment, 4 major websites
 Python code & datasets on Github
 True cross-domain ratings dataset
ConclusionCross-DomainResultsSocial SharingIntro
Apr. 08, 2014 Simon Dooms - Ghent University - MSM 2014 16

17. @sidooms
Simon Dooms
Mining Cross-Domain Rating Datasets
from Structured Data on Twitter