Zhu Liu Tui Jian Xi Tong RankSuan Fa De Shi Xian
Xiang Mu Jian Jie
- Shi Xian Tui Jian Xi Tong Zhong Zhu Yao Shi Yong De RankSuan Fa ,Bing Shi Yong Gong Kai Shu Ju Ji Ping Ce ,Suo You Suan Fa Jun Yi Pao Tong Bing Wan Cheng Wan Zheng De Xun Lian ,Zui Zhong Sheng Cheng
saved_modelHecheckpointGongtf-servingBu Shu ;
- Shi Yong Wei Xin Shi Pin Hao Tui Jian Suan Fa Bi Sai Shu Ju Ji ,Shu Ju Xiang Qing Qing Jian ./dataset/README.md;
- Wei Liao Tie He Gong Ye Jie Shi Yong Qing Kuang ,Shi Yong
TensorFlow EstimatorKuang Jia ,Shu Ju formatWeiTfrecord; - Suan Fa Shi Xian Zai
./algrithmXia ,Mei Ge Suan Fa Dan Du Yi Ge Wen Jian Jia ,Ming Zi Wei Pu Bian Jie Shou De Da Xie Suan Fa Ming Cheng ,Xun Lian Ru Kou Wei Wen Jian Jia Xia Dui Ying De Xiao Xie Suan Fa Ming Cheng pyWen Jian ,Ru DINWen Jian Jia Xia Dedin.pyWen Jian Wei Xun Lian DINMo Xing De Ru Kou ,Ju Ti Qing Jian Mo Wei De Shi Li Bu Fen ; - Mei Ge Suan Fa Du Shi Xian Liao Zi Ji De
model_fn,Mei You Shi YongKerasGao Jie API,Zhi Shi YongTensorFlowDe Zhong Di Jie APIGou Zao Jing Tai Tu ; - Suan Fa Chao Can Shu Ke You
--parameter_name=parameter_valueFang Shi Chuan Ru Xun Lian Ru Kou Jiao Ben ,Chao Can Shu Ding Yi Qing Jian Xun Lian Ru Kou Jiao Bentf.app.flagsBu Fen ; - Dan Ren Wu Mo Xing Shi Yong Shu Ju Ji Yin Bian Liang Zhong De
read_comemntPing Ce ,Duo Ren Wu Mo Xing Shi Yongread_commetlikeclick_avatarSan Ge Ren Wu Ping Ce ;
Dan Ren Wu ModelsLie Biao
*Best_read_comment_AucWei Mei Ge modelGe Zi Diao Can Hou De Ce Shi Ji Zui Da Auc,Mei Ge modelGe Zi De Ping Ce Jian Mei Ge modelLu Jing Xia De result.md.
*DIENBu Gua Yong Yu Wei Xin Shi Pin Hao Shu Ju Ji ,Gu Zhi Shi Xian Liao Jing Tai Tu ,Bing Mei You Ping Ce .
Duo Ren Wu ModelsLie Biao
| Model | Paper | *Best_read_commet_AUC | *Best_like_AUC | *Best_click_avatar_AUC |
|---|---|---|---|---|
| ESMM | [2018] Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate | - | - | - |
| MMOE | [2018] Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts | 0.91860557 | 0.8126400 | 0.8139362 |
| PLE | [2020] Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations | 0.91965175 | 0.8136461 | 0.8154559 |
*Best_xx_AUCWei Suo You Chao Can Shu Zu He Zhong De Zui Gao Zhi ,Heng Xiang De San Ge AUCKe Neng Bu Zai Tong Yi Zu Chao Can Shu Zhong .
*You Yu ESMMDe Jie Gou Te Shu Xing ,Bu Gua Yong Yu Wei Xin Shi Pin Hao Shu Ju Ji ,Gu Zhi Shi Xian Liao Jing Tai Tu ,Bing Mei You Ping Ce .
Shi Li
# Xian Zhi Xing Yi Xia Ming Ling Que Bao Sheng Cheng Liao tfrecord
# cd ./dataset/wechat_algo_data1
# python DataGenerator.py && cd ..
cd ./DIN
# Xun Lian Shi Ke Zi Ding Yi Can Shu
python din.py --use_softmax=True
# cd ./dataset/wechat_algo_data1
# python DataGenerator.py && cd ..
cd ./DIN
# Xun Lian Shi Ke Zi Ding Yi Can Shu
python din.py --use_softmax=True
To Do List
- Zeng Jia Duo Ren Wu Xue Xi Trick: Uncertainty, GradNorm, PCGrad, etc.
- Zeng Jia AutoInt, FLEN, etc.
- Zhong Gou Te Zheng Gong Cheng Bu Fen , Bao Gua Pei Zhi Hua Shu Ru Deng , Can Kao https://github.com/Shicoder/Deep_Rec