Hi, I'm interested in following up on this question about combining boolean and non-boolean data. Young and Sean mentioned two ways of doing this:
(1) Assign each boolean data point an arbitrary rating, such as 4 out of 5. (2) Assume that all of the data is boolean, i.e. ignore the explicit ratings. Are there any other ways of doing this that folks have found to work well? I could imagine, for example, that instead of assigning each boolean data point an arbitrary rating (such as 4), one could assign it the average of the non-boolean ratings. The problem with any method of combining boolean and non-boolean data is that it can't be tested objectively, because it is a means of constructing a dataset -- including the test data! So it seems that only a subjective evaluation could differentiate among different options. I'm hoping that someone else has already done something along these lines. Thanks much in advance. -- View this message in context: http://lucene.472066.n3.nabble.com/How-to-combine-boolean-datamodel-with-datamodel-tp977953p2102962.html Sent from the Mahout User List mailing list archive at Nabble.com.
