Dear Mahout Team, I'm new to Mahout... Most of explanations about using Mahout i've found are discussing how to make recommendation using CF.
Here I wish to create a recommender system using Mahout that makes use of an item ID to decide which user IDs would be relevant to the item. The item would be recommended as soon as it is available in the database. But using CF becomes a problem since in this case, a new item has no sufficien info, like ratings, buys, and so on. Sean Owen hinted me to construct Item-Similarity based on attribute, not ratings. I see.. But i 'm still confused how to do so in Mahout, since ItemSimilarity is usually constructed by passing DataModel object that is based on item ratings (user_id, item_id, rating, and timestamp). He also suggested me to ask here, so i hope anybody of you can help me to solve this problem. Thanks before.. -- View this message in context: http://lucene.472066.n3.nabble.com/cold-start-and-attribute-based-ItemSimilarity-implementation-tp3453699p3453699.html Sent from the Mahout User List mailing list archive at Nabble.com.
