学习机器学习 数据处理时 找到的这些链接 可以在上面下载到开源的研究数据数据

美国政府数据 http://www.data.gov/

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 experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://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, Universitt Freiburg - Book Ratings Data Sets http://www.informatik.uni-freiburg.de/~cziegler/BX/

Food Recommendation:

• Chicago Entree - Food Ratings Data Sets http://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 Recommendation http://www.comp.nus.edu.sg/~sugiyama/SchPaperRecData.html

Information Network

• DBLP http://www.informatik.uni-trier.de/~ley/db/

• proximity DBLP http://kdl.cs.umass.edu/data/dblp/dblp-info.html

• DBLP-Citation-Network http://arnetminer.org/citation

• KDD-2011 http://www.cs.uiuc.edu/~hbdeng/data/kdd2011.htm

• CiteSeer (hardly) http://csxstatic.ist.psu.edu/about/data

• CiteSeer dumped http://martinharrigan.blogspot.com/2008/07/citeseers-dataset.html

• Cora (hardly) http://people.cs.umass.edu/~mccallum/data.html

• IMDB http://www.imdb.com/interfaces/

Social Network

• Stanford large network dataset (contains lots of network dataset): http://snap.stanford.edu/data/

• Stanford class resources http://snap.stanford.edu/na09/resources.html

• ICWSM twitter dataset: http://twitter.mpi-sws.org/data-icwsm2010.html

• EBSN - Event-based social network dataset: http://www.largenetwork.org/ebsn

• Other social network dataset: Slashdot, Enron email, Mit mobile, Epinions reviews.

Sentiment and Option Mining

• MPQA http://www.cs.pitt.edu/mpqa/index.html

• Bing Liu's homepage

• Movie Review http://www.cs.cornell.edu/people/pabo/movie-review-data/

• Lee's homepage

• twitter sentiment: http://www.sananalytics.com/lab/twitter-sentiment/
  

Recommendation

• index1: https://gist.github.com/1653794

• index2: http://mobblog.cs.ucl.ac.uk/datasets/

Machine Learning

• UCI dataset http://archive.ics.uci.edu/ml/datasets.html

Audio Retrieval

• CAL-500: http://twitterdata.org/

• Million song dataset http://labrosa.ee.columbia.edu/millionsong/

Miscellaneous1

• A lot graph dataset including several cups, twitter etc http://graphlab.org/downloads/datasets/

• Several graph dataset http://law.di.unimi.it/datasets.php

• Delicious/Flikr/Last.FM etc http://www.tagora-project.eu/data/

• A small dataset about links http://www.cs.umd.edu/projects/linqs/projects/lbc/index.html

• A small dataset including citeseerx/imdb http://komarix.org/ac/ds/

Miscellaneous2

Only user-object

• Amazon

Both user-user and user-object

single-type user netwrok

• Flickr, Youtube, twitter

signed user network

• Epinion, Slashdot, Ciao

Multi-type user network

• Facebook, Google plus