Ok, thanks :) On Mon, Dec 26, 2011 at 11:31 PM, Sean Owen <[email protected]> wrote:
> Yeah it is so read-intensive that it's not really feasible to run off > a database directly. You need to load it in memory > (LoadFromJDBCDataModel) or as Ted says deploy some caching and wait > for it to warm up (CachingItemSimilarity, CachingUserSimilarity, > CachingRecommender). > > On Mon, Dec 26, 2011 at 4:12 PM, deneche abdelhakim <[email protected]> > wrote: > > I am trying to run an item based recommender on movielens 100k example, > > I'am looping through a quarter of the items calling > > recommender.getMostSimilarItems(10) for each of them. The FileDataModel > > takes no more than 5s but the MySQLJDBCDataModel requires more than 300s. > > Is this expected ? >
