jester: Jester dataset

Description Usage Details References Examples

Description

A likelihood function for the Jester datasets

Usage

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Details

Object 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 maxp(jester).

Objects jester and 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 hyper2 package. I am not convinced that maxjest is even close to the true evaluate.

References

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

Examples

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data(jester)
# maxp(jester)  # takes too long

loglik(indep(jester_maxp),jester)

hyper2 documentation built on March 4, 2021, 9:09 a.m.