10 million data points is not large, and should not be "slow". Recommendations should take less than 100ms with normal algorithms and data sets. What are you seeing?
There are many, many ways to make a recommender run very slowly, and a few ways to do it right. Without any details, it's not possible to comment more. What data, what algorithm, etc? 2010/7/13 WoodJustin <[email protected]>: > > Hi all, > > > > I am reading the <Mahout in Action> and run the code of user-based > recommendation based on 10 million rating data set. It seems extremly slow to > calculate the recommended items. I am curious if I want to do the online > recommendation, how could I do? > > > > Thank you for your attention. > > > > ---Tony > > _________________________________________________________________ > 约会说不清地方？来试试微软地图最新msn互动功能！ > http://ditu.live.com/?form=TL&swm=1
