├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── advanced-analytics-with-spark └── spark-shell │ └── StatsWithMissing.scala ├── ctr-in-action ├── 1-explore-data │ └── 1_explore_split_criteo.py ├── 2-use-deepctr │ ├── 1_ctr_criteo.py │ └── 2_ctr_avazu.py ├── 3-ctr-from-scratch │ ├── 1_lr.py │ └── README.md ├── 4-fm-recommend │ ├── fm.py │ ├── sample.txt │ └── sample1.txt ├── 5-company-classifier │ ├── company.py │ └── sample.txt ├── README.md └── deepctr │ ├── __init__.py │ ├── contrib │ ├── __init__.py │ ├── rnn.py │ └── utils.py │ ├── input_embedding.py │ ├── layers │ ├── __init__.py │ ├── activation.py │ ├── core.py │ ├── interaction.py │ ├── normalization.py │ ├── sequence.py │ └── utils.py │ ├── models │ ├── __init__.py │ ├── afm.py │ ├── autoint.py │ ├── ccpm.py │ ├── dcn.py │ ├── deepfm.py │ ├── dien.py │ ├── din.py │ ├── dsin.py │ ├── fgcnn.py │ ├── fnn.py │ ├── mlr.py │ ├── nffm.py │ ├── nfm.py │ ├── pnn.py │ ├── wdl.py │ └── xdeepfm.py │ └── utils.py └── pyspark-in-action ├── 1-movielens-recommend.py ├── 2-stumble-decision-tree.py ├── 3-stumble-lr.py ├── 4-stumble-svm.py ├── 5-stumble-naive-bayes.py ├── 6-covertype-decision-tree.py ├── 7-bikesharing-decision-tree.py └── README.md /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/.gitignore -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/README.md -------------------------------------------------------------------------------- /advanced-analytics-with-spark/spark-shell/StatsWithMissing.scala: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/advanced-analytics-with-spark/spark-shell/StatsWithMissing.scala -------------------------------------------------------------------------------- /ctr-in-action/1-explore-data/1_explore_split_criteo.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/ctr-in-action/1-explore-data/1_explore_split_criteo.py -------------------------------------------------------------------------------- /ctr-in-action/2-use-deepctr/1_ctr_criteo.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/ctr-in-action/2-use-deepctr/1_ctr_criteo.py -------------------------------------------------------------------------------- /ctr-in-action/2-use-deepctr/2_ctr_avazu.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/ctr-in-action/2-use-deepctr/2_ctr_avazu.py -------------------------------------------------------------------------------- /ctr-in-action/3-ctr-from-scratch/1_lr.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wdxtub/computational-advertising-note/HEAD/ctr-in-action/3-ctr-from-scratch/1_lr.py -------------------------------------------------------------------------------- /ctr-in-action/3-ctr-from-scratch/README.md: -------------------------------------------------------------------------------- 1 | # 从零开始 CTR 算法 2 | 3 | 这个文件夹中采用 tensorflow 实现了从简单的难的各类 CTR 算法，列表如下； 4 | 5 | 1. LR 6 | 2. FM 7 | 3. 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