├── README.md ├── TOP12 ├── README.md ├── cache │ └── README.md ├── input_round1 │ └── README.md ├── input_round2 │ └── README.md ├── models │ └── tf_DeepFM.py └── src │ ├── main.py │ └── preprocess.py ├── TOP3 └── Tencent_Ads_Algo_2018-master │ ├── LICENSE │ ├── README.md │ ├── figs │ ├── A.png │ ├── F.png │ ├── M_ff.png │ ├── attention.PNG │ ├── model_1.PNG │ ├── ranks.png │ └── results.png │ ├── install.sh │ ├── model_description.pdf │ ├── models │ ├── din_ffm_v3_r_0.yaml │ ├── din_ffm_v3_r_1.yaml │ ├── din_ffm_v3_r_10.yaml │ ├── din_ffm_v3_r_11.yaml │ ├── din_ffm_v3_r_12.yaml │ ├── din_ffm_v3_r_2.yaml │ ├── din_ffm_v3_r_3.yaml │ ├── din_ffm_v3_r_4.yaml │ ├── din_ffm_v3_r_5.yaml │ ├── din_ffm_v3_r_6.yaml │ ├── din_ffm_v3_r_7.yaml │ ├── din_ffm_v3_r_8.yaml │ ├── din_ffm_v3_r_9.yaml │ └── din_ffm_v3_r_template.yaml │ ├── post-processing.sh │ ├── pre-processing.sh │ ├── pre-processing_ad.sh │ ├── pre-processing_his.sh │ ├── pre-processing_merge.sh │ ├── pre-processing_user.sh │ ├── run.sh │ ├── run_models.sh │ ├── scripts │ ├── collect_res.py │ ├── construct_mapping.py │ ├── construct_mapping_ad.py │ ├── count_features.py │ ├── count_features_ad.py │ ├── gen_feature_info_r_2.py │ ├── gen_file_list.py │ ├── mapping_features.py │ ├── mapping_features_ad.py │ ├── merge │ │ ├── __init__.py │ │ ├── merge_ads.py │ │ ├── merge_train.py │ │ └── merge_users.py │ ├── score_avg.py │ └── user_history_4.py │ └── src │ ├── __init__.py │ ├── clib_dev │ ├── README.md │ ├── __init__.py │ ├── _ext │ │ ├── __init__.py │ │ └── my_lib │ │ │ ├── __init__.py │ │ │ └── _my_lib.so │ ├── build.py │ ├── functions │ │ ├── __init__.py │ │ ├── add.py │ │ └── tools.py │ ├── make.sh │ ├── modules │ │ ├── __init__.py │ │ └── add.py │ ├── src │ │ ├── cuda │ │ │ ├── reduce_kernel.cu │ │ │ ├── reduce_kernel.cu.o │ │ │ └── reduce_kernel.h │ │ ├── my_lib.c │ │ ├── my_lib.h │ │ ├── my_lib_cuda.c │ │ └── my_lib_cuda.h │ ├── test.py │ ├── test_reduce.py │ ├── test_reduce_max.py │ ├── test_reduce_mean.py │ └── test_softmax.py │ ├── data_tool │ ├── __init__.py │ ├── feature.py │ └── managers.py │ ├── dataset │ ├── __init__.py │ ├── dataset_youth_r.py │ └── samplers.py │ ├── eval │ ├── __init__.py │ └── auc.py │ ├── lib │ ├── __init__.py │ ├── checkpoint.py │ ├── hash.py │ ├── logger.py │ ├── lr_scheduler.py │ └── tools.py │ ├── loss │ ├── __init__.py │ ├── focal_loss.py │ └── hinge_loss.py │ ├── meter │ ├── __init__.py │ └── meters.py │ ├── model │ ├── DIN_ffm_v3_r.py │ └── __init__.py │ ├── module │ ├── FM.py │ ├── __init__.py │ ├── dice.py │ ├── embedding_atten_v2.py │ └── tool.py │ ├── optimizer │ ├── __init__.py │ ├── adam.py │ ├── optimizer.py │ └── sparse_adam.py │ └── train_model_din_by_epoch_chunked_r.py ├── Top15 └── tadv2 │ ├── README.md │ ├── models │ ├── nffm.py │ └── utils.py │ ├── run.sh │ └── src │ ├── add_feature_with_new.py │ ├── base_data.py │ ├── base_data_1.py │ └── main.py ├── data ├── 2018腾讯算法大赛参赛手册-0413-V2.pdf └── data变量数据分布表.docx └── my_teamwork ├── 0_others' code ├── .ipynb_checkpoints │ ├── baseline_v3-checkpoint.ipynb │ └── random-checkpoint.ipynb ├── FFM_baseline.ipynb ├── _0_prepare_data.py ├── baseline.py ├── baseline_v3.ipynb ├── bryan_baseline_v2.py ├── bryan_baseline_v3.py ├── cut&merge │ ├── cut.py │ └── merge.py ├── cut_sil.py ├── deepfm_main.py ├── dnn.py ├── feature_extract.ipynb ├── kaggle_criteo_ctr_challenge.ipynb ├── merge.py ├── randSearch.ipynb ├── tc_2017_NO.14 │ ├── Other.py │ ├── README.md │ ├── doFeats_1.py │ ├── doFeats_2.py │ └── train_cv.py ├── tf_DeepFM.py ├── 兴趣特征处理.ipynb ├── 广告特征分析.ipynb └── 用户特征分析.ipynb ├── cjy ├── 1_Preliminary │ ├── .ipynb_checkpoints │ │ └── 组合特征512-checkpoint.ipynb │ ├── 0cut.ipynb │ ├── 0切分.ipynb │ ├── 0数据转换.ipynb │ ├── 0生成正负样本一比一的数据集.ipynb │ ├── 1pre_data_label1.ipynb │ ├── 1pre_data_mean_mode.ipynb │ ├── 1pre_userFeature.ipynb │ ├── 2model-test.ipynb │ ├── 3FFM.ipynb │ ├── nlp_feature.py │ ├── 兴趣编码.ipynb │ ├── 组合特征1.ipynb │ ├── 组合特征2.ipynb │ └── 组合特征512.ipynb └── 2_final │ ├── 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