Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset)http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experimentshttp://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Setshttp://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Audioscrobbler - Music Recommendation Data Sets http://www-etud.iro.umontreal.ca/~bergstrj/audioscrobbler_data.html
- Amazon - Audio CD recommendations http://131.193.40.52/data/
Books Recommendation:
- Institut für Informatik, Universität Freiburg - Book Ratings Data Sets http://www.informatik.uni-freiburg.de/~cziegler/BX/
Food Recommendation:
- Chicago Entree - Food Ratings Data Setshttp://archive.ics.uci.edu/ml/datasets/Entree+Chicago+Recommendation+Data
Merchandise Recommendation:
- Amazon - Product Recommendation Data Sets http://131.193.40.52/data/
Healthcare Recommendation:
- Nursing Home - Provider Ratings Data Set http://data.medicare.gov/dataset/Nursing-Home-Compare-Provider-Ratings/mufm-vy8d
- Hospital Ratings - Survey of Patients Hospital Experiences http://data.medicare.gov/dataset/Survey-of-Patients-Hospital-Experiences-HCAHPS-/rj76-22dk
Dating Recommendation:
- www.libimseti.cz - Dating website recommendation (collaborative filtering)http://www.occamslab.com/petricek/data/
Scholarly Paper Recommendation:
- National University of Singapore - Scholarly Paper Recommendationhttp://www.comp.nus.edu.sg/~sugiyama/SchPaperRecData.html
Some more here: http://www.grouplens.org/node/12
netflix(Movies Recommendation): http://www.lifecrunch.biz/archives/207
Another movie ratings dataset: MovieTweetings - https://github.com/sidooms/MovieTweetings
Movie ratings are extracted from Twitter and added to the dataset on a daily basis.
Source: https://gist.github.com/entaroadun/1653794
netflix(Movies Recommendation): http://www.lifecrunch.biz/archives/207
Another movie ratings dataset: MovieTweetings - https://github.com/sidooms/MovieTweetings
Movie ratings are extracted from Twitter and added to the dataset on a daily basis.
Source: https://gist.github.com/entaroadun/1653794
Recommendation and Ratings Public Data Sets For Machine Learning
Movies Recommendation : MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73 Yahoo! - Movie, Music, and Images...
