Re: Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-27 Thread Qin Wei
Thanks a lot for your reply, it gave me much inspiration. qinwei  From: Sean Owen-2 [via Apache Spark User List]Date: 2014-04-25 14:11To: Qin WeiSubject: Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark So you are computing all-pairs

Re: Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-27 Thread Qin Wei
Thanks a lot for your reply, it gave me much inspiration. qinwei  From: Sean Owen-2 [via Apache Spark User List]Date: 2014-04-25 14:11To: Qin WeiSubject: Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark So you are computing all-pairs

Re: Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-27 Thread qinwei
> <http://apache-spark-user-list.1001560.n3.nabble.com/file/n4808/QQ%E6%88%AA%E5%9B%BE20140424204018.png> > <http://apache-spark-user-list.1001560.n3.nabble.com/file/n4808/QQ%E6%88%AA%E5%9B%BE20140424204001.png> > > My standalone cluster has 3 worker node (16 core and 32G RAM),

Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-24 Thread Sebastian Schelter
[1] http://ssc.io/wp-content/uploads/2012/06/rec11-schelter.pdf [2] https://gist.github.com/sscdotopen/8314254 On 04/25/2014 06:55 AM, Qin Wei wrote: Hi All, I have a problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark. The basic flow i

Re: Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-24 Thread Sean Owen
All, > > I have a problem with the Item-Based Collaborative Filtering Recommendation > Algorithms in spark. > The basic flow is as below: > (Item1, (User1 , > Score1)) >RDD1 ==>

Problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark

2014-04-24 Thread Qin Wei
Hi All, I have a problem with the Item-Based Collaborative Filtering Recommendation Algorithms in spark. The basic flow is as below: (Item1, (User1 , Score1)) RDD1 ==>(Item2, (User2 , Sco