Hello,
I have files containing moview reviews from the OpenLensGroup DB.
I have a file containing user data (user Id-number, age-number, gender-M/F, occupation-number, zipcode-number)
and a file containg movie reviews DATA (user id-number, movie id-number, grade-number)
[in the movie review file the same user Id can repeat but with different movie Id in each row]
In order to do that I tried KNN alg and for that I want to use the WEKA package
However, I don't know how to define the arff file based on the 2 files I already have (of user, movie data).
I don't know what are the attributes that the generic IBK classifier can take and based on them
give me a list of movie Id 's from the K-nearest users.
I need the accuracy to be based on the movies the users have seen (meaning that if a user have seen movie A,B,C
and I select him for the test data then if the train are movies A,B then if the IBK offers movie C the accuracy will increase)
Do you have an Idea on how to do that using the WEKA's IBK?
Thanks,
Yaniv.
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