of recommendation system include precision, coverage,
diversity…
Most measures can be found in the book(Recommender_systems_handbook)
发件人: Xiangrui Meng [mailto:men...@gmail.com]
发送时间: 2014年8月26日 3:28
收件人: Lizhengbing (bing, BIPA)
抄送: dev@spark.apache.org
主题: Re: I want to contribute MLlib two quality
Hi:
In paper Item-Based Top-N Recommendation
Algorithms(https://stuyresearch.googlecode.com/hg/blake/resources/10.1.1.102.4451.pdf),
there are two parameters measuring the quality of recommendation: HR and ARHR.
If I use ALS(Implicit) for top-N recommendation system, I want to check it's
The instruction address is in
http://spark.apache.org/docs/0.9.0/spark-standalone.html#launching-applications-inside-the-cluster
or
http://spark.apache.org/docs/0.9.1/spark-standalone.html#launching-applications-inside-the-cluster
Origin instruction is:
./bin/spark-class