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kdd2015

kdd2015-1

kdd2015-2

预测慕课网的逃课率

kdd2015-3

Fight for KDDCUP 2015

kdd2015-4

KDD Cup 2015

kdd2015-5

kdd2015_mooc

the kdd 2015 competition,our model can predict the dropout of mooc at a high accuracy of almost 95%.

kdd2015_xuetang

code for KDD2015

kdd2015wpp

Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data"

kdd2018

Generalizing categorical encodings: an n-gram kernel for morphological variants

kdd2018_mpcn

Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"

kdd2019-challenge

kdd2019_policy_learning

https://www.kdd.org/kdd2019/kdd-cup

kdd2020_mutilmodalities

top8 KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall

kddcup-2015

kddcup-2015 predicting dropout of MOOCs

kddcup-2016

record

kddcup15

KDD Cup 2015 - Predicting dropouts in MOOC

kddcup15-1

KDD Cup 2015 code

kddcup2015

kddcup2015-1

kddcup2015-2

kddcup2015-3

10th/821team KDD Cup 2015

kddcup2015-4

my fighting log of KDD CUP 2015

kddcup2015-5

kddcup2015-6

CS 385 Project

kddcup2015-7

kddcup2015-8

R code snippets for analysis for KDD Cup 2015

kddcup2015-cli

kddcup2016

Code for KDD Cup 2016

kddcup2019-archaive

Our implementation code, summary and experience of KDD Cup 2019 Automl Track