Hi Mahout Community, I am currently playing around with the Taste and would like to get the following working: Given a set of users who have used a certain item, I would like to get a list of recommendations for the most similar users. As far as I understand, both user- and item-based recommender return a list of RecommendedItems when executing their recommend(userId, howMany) method. The difference between them is that user-based recommender use (weighted) user-similarities and item-based recommender (weighted) item-similarities, right?
How do I get the most similar user IDs? Do I simply use the mostSimilarUserIDs(userId, howMany) method of the user-based recommender? Why can't I use an item-based recommender for this? Do I need to use a DataModel with swapped item and userIdColumns? In how far is the list of most similar User IDs related to collaborative filtering? Cheers Steve -- View this message in context: http://old.nabble.com/Similar-User-Recommendation-tp27749543p27749543.html Sent from the Mahout User List mailing list archive at Nabble.com.
