GitHub user takuti opened a pull request:
https://github.com/apache/incubator-hivemall/pull/86
[HIVEMALL-113] Add MovieLens item-based CF tutorial
## What changes were proposed in this pull request?
Create MovieLens item-based CF tutorial using DIMSUM
ref #84
## What type of PR is it?
Documentation
## What is the Jira issue?
https://issues.apache.org/jira/browse/HIVEMALL-113
## How was this patch tested?
Tested on EMR.
Accuracy was compared with:
- Fig. 3 of [Improving the Accuracy of Top-N Recommendation using a
Preference Model](http://pike.psu.edu/publications/is16-PrefCF.pdf)
- Table 5.2 of [Evaluating Prediction Accuracy for Collaborative Filtering
Algorithms in Recommender
Systems](https://kth.diva-portal.org/smash/get/diva2:927356/FULLTEXT01.pdf)
- Fig. 5.5 of [Towards Recommender Engineering Tools and Experiments for
Identifying Recommender
Differences](https://md.ekstrandom.net/research/thesis/mde-thesis.pdf)
and confirmed our query shows similar accuracy.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/takuti/incubator-hivemall dimsum-movielens
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-hivemall/pull/86.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #86
----
commit 9f38fdd4c83f374f93f6b6945421707a74794743
Author: Takuya Kitazawa <[email protected]>
Date: 2017-06-08T08:42:59Z
Add MovieLens CF tutorial
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