Datasets containing over 5 million anonymous joke ratings from 150k users are freely available for research use at:
http://eigentaste.berkeley.edu/dataset/

As a courtesy, if you use the data, we would appreciate knowing your name, what research group you are in, and the publications that may result.

Eigentaste: A Constant Time Collaborative Filtering Algorithm [bibtex]
Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Information Retrieval, 4(2), 133-151. July 2001.

Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering [bibtex]
Tavi Nathanson, Ephrat Bitton, and Ken Goldberg. ACM Conference on Recommender Systems (RecSys), Minneapolis, MN, Oct 2007.

Algorithms, Models and Systems for Eigentaste-Based Collaborative Filtering and Visualization [bibtex]
Tavi Nathanson. Master's thesis, EECS Department, University of California, Berkeley, May 2009.

Papers using the Jester Dataset

Press:

• California Magazine: Foolproof funny: better humor through computer science, 3/20/2009
• Wired Campus: Web Site at U. of California at Berkeley Tailors Jokes to Individual Tastes, 4/1/2008
• NetworkWorld: No April Fooling: Inside UC Berkeley's joke recommendation system, 3/31/2008

Mentions:

• Scott Weems: Ha!: The Science of When We Laugh and Why, 3/4/2014
• Daily Californian Blog: Top 5 Berkeley-inspired humor websites, 2/12/2013
• MakeUseOf: 8 Best Daily Jokes Sites To Lighten Up Your Mood, 2/3/2009
• NetworkWorld: Top 10 wicked cool algorithms, 11/19/2008
• Ken Leebow: 1001 Incredible Things to Do on the Internet, 1/1/2001
• M.J. Ryan: Instant Health and Happiness Boosters: 365 Suggestions to Lift Your Spirit, 2000
• Malcom Gladwell: The Science of the Sleeper, 10/4/1999

Jay Patel, Viraj Mahesh, Sanjay Krishnan

EECS, UC Berkeley

Ken Goldberg

Professor, IEOR and EECS, UC Berkeley

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