A likelihood function for the Jester datasets
jester is a likelihood function for the 91 jokes rated by
the first 150 respondents in file ‘jester_dataset_1_3.zip’, taken
from http://eigentaste.berkeley.edu/dataset/. Object
jester_maxp is the result of running
jester_maxp can be generated by running
script ‘inst/jester.Rmd’, which includes some further technical
documentation. This file takes about 10 minutes to run.
The dataset is interesting because it has been analysed by many workers,
including Goldberg, for patterns; here I assume that all the respondents
behave identically (but randomly). It is included here because it is a
very severe numerical challenge in the context of the
package. I am not convinced that
maxjest is even close to the
Eigentaste: A Constant Time Collaborative Filtering Algorithm. Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Information Retrieval, 4(2), 133-151. July 2001.
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