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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 get blending weight by training data
bagging blending
data user-lang
include sources
knni-all sources
knni-page sources
knni some of source codes for github contest
knnu-all sources
knnu
knnui sources
language some of source codes for github contest
popular some of source codes for github contest
repo_owner
repos sources
uiknn some of source codes for github contest
README.textile readme
result-train.txt train
results.txt ret
results0.txt top20

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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