I have got the group lens example working. Had a couple of doubts though - The dataset in grouplens has movieid, userid and the corresponding ratings. However a rating is meant to rate a movie but there are other things related to a movie to which the rating contributes. For example, the actors, directors, movie genre or may be the year of release etc.
So, is there any way to capture this relationship and then generate recommendation. Any suggestions, ideas about how to represent data or vector and then compute recommendations or how it is done usually etc. would be nice. -Mac
