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2018-ccf-bdci-china-unicom-research-institute-top2

2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型-复赛第二名解决方案

2018-rank4-

快手活跃用户预测——lctry队解决方案

2018spa

qq2018spa

2019-taida-jdata-top3

ads-ailab

ads-papers

Ad papers.

advertising-algorithm-competition

2018 腾讯广告算法大赛/IJCAI 阿里妈妈搜索广告转化预测竞赛

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

bdci-2018-supply-chain-demand-forecast

初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛 供应链需求预测 Miracccccccle

bdci2018-chinauuicom-1st-solution

这是BDCI2018的联通赛题第一名解决方案

ccf-bigdata

CCF-大数据竞赛-基金间的相关性预测-复赛19名

closer

2nd place solution to CIKM AnalytiCup 2018, determining the short-text semantic similarity.

criteo

ctr_prediction

CTR prediction using FM FFM and DeepFM

ctrnet-tool

This's the tool for CTR, including FM, FFM, NFFM and so on.

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

decision_tree_prune

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning,all are implemented with Python(All finished).

deep-ctr

deep-ctr-1

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deeprec-1

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

df-early-warning-of-the-wind-power-system

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

feature_selection

常用的特征选择方法

icme2019-bytedance-grand-challenge

字节跳动短视频内容理解和推荐 Track2 Top8

ijcai17_tianchi_rank4

kaggle-2014-criteo

kaggle-past-solutions

A searchable compilation of Kaggle past solutions