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xlvector's solution of github contest
C++
branch: master

readme

latest commit 864e1c0120
Xiang Liang authored
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bagging-test
bagging
data
include sources
knni-all
knni-page
knni
knnu-all sources
knnu
knnui
language
popular
repo_owner
repos
uiknn
README.textile
result-train.txt
results.txt
results0.txt

README.textile

Introduction

I am XiangLiang from China. Here is my homepage
You can follow me in the Twitter, my account is “xlvector”

Algorithms

1. knni : item based knn
2. knnu : user based knn
3. knnui : hybrid item-user based knn
4. knni-all : item based knn with language and reponame information
5. knnu-all : user based knn with language and reponame information
7. repos : using collaborator data (downloaded by github API)
8. bagging : blending different algos

9. In bagging/main.cpp, there are many pre-processing methods used
1) diversity : we find it is very hard to predict recommendations for users who watches a lot of repos. So, making diversity recommendations can improve prodiction accuracy of these users.
2) popularity : if a users does not view popular repos before, it means he may not like popular repos, so, we can delete popular repos in recommendation list.

License

Before the contest is ended, you can not use my results.txt, however, it is free for you too use my source file.

After the contest is ended, you can use everything I pushed to github.

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