Hello,all I want to build recommendation engine with apache mahout,I have read some reading material,and I still have some questions.
1)How to recommend for anonymous users I think recommendation engine should return recommendations given a item id.For example,a anonymous user reviews some items, and tell the recommendation what he reviews,and compute with the reviews histories. 2)How to compute the items similarity dataset Without use items similarity dataset,we can make ItemBasedRecommender with PearsonCorrelationSimilarity,but we need to make recommendations with extra attributes of items, so we should use the items similarity dataset,how to build the dataset is the key point. -- I'm samsam.
