And Jerry Gibson, a professor at the University of California at Santa Barbara, says he's going to introduce the metric into two classes this year. For a winter quarter class on information theory, he will ask students to use the score to evaluate lossless compression algorithms. In a spring quarter class on multimedia compression, he will use the score in a similar way, but in this case, because the Weissman Score doesn't consider distortion introduced in lossy compression, he will expect the students to weight that factor as well.
The scoring method as stated is only useful for evaluating lossless compression. One could also take into account the resemblance of the output to the input to allow a modified version of the score to evaluate lossy compression.