diff --git a/README.md b/README.md index c9a38e222ed9db7be2d545e2b74c3d222f0e581c..5d4d26484f2cc3fe72a23a0980efc56cda22647f 100644 --- a/README.md +++ b/README.md @@ -47,6 +47,7 @@ | 召回 | [Youtube_dnn](models/recall/youtube_dnn/model.py) | ✓ | ✓ | ✓ | ✓ | [RecSys 2016][Deep Neural Networks for YouTube Recommendations](https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/45530.pdf) | | 召回 | [NCF](models/recall/ncf/model.py) | ✓ | ✓ | ✓ | ✓ | [WWW 2017][Neural Collaborative Filtering](https://arxiv.org/pdf/1708.05031.pdf) | | 召回 | [GNN](models/recall/gnn/model.py) | ✓ | ✓ | ✓ | ✓ | [AAAI 2019][Session-based Recommendation with Graph Neural Networks](https://arxiv.org/abs/1811.00855) | + | 召回 | [RALM](models/recall/look-alike_recall/model.py) | ✓ | ✓ | ✓ | ✓ | [KDD 2019][Real-time Attention Based Look-alike Model for Recommender System](https://arxiv.org/pdf/1906.05022.pdf) | | 排序 | [Logistic Regression](models/rank/logistic_regression/model.py) | ✓ | x | ✓ | x | / | | 排序 | [Dnn](models/rank/dnn/model.py) | ✓ | ✓ | ✓ | ✓ | / | | 排序 | [FM](models/rank/fm/model.py) | ✓ | x | ✓ | x | [IEEE Data Mining 2010][Factorization machines](https://analyticsconsultores.com.mx/wp-content/uploads/2019/03/Factorization-Machines-Steffen-Rendle-Osaka-University-2010.pdf) | diff --git a/README_EN.md b/README_EN.md index b0ab5aefe0dacf953fa562b73f05648f5127c769..985d2ea2198e1df799066e7f703d8416c4b7a916 100644 --- a/README_EN.md +++ b/README_EN.md @@ -42,6 +42,7 @@ | Recall | [Youtube_dnn](models/recall/youtube_dnn/model.py) | ✓ | ✓ | ✓ | ✓ | [RecSys 2016][Deep Neural Networks for YouTube Recommendations](https://static.googleusercontent.com/media/research.google.com/zh-CN//pubs/archive/45530.pdf) | | Recall | [NCF](models/recall/ncf/model.py) | ✓ | ✓ | ✓ | ✓ | [WWW 2017][Neural Collaborative Filtering](https://arxiv.org/pdf/1708.05031.pdf) | | Recall | [GNN](models/recall/gnn/model.py) | ✓ | ✓ | ✓ | ✓ | [AAAI 2019][Session-based Recommendation with Graph Neural Networks](https://arxiv.org/abs/1811.00855) | + | Recall | [RALM](models/recall/look-alike_recall/model.py) | ✓ | ✓ | ✓ | ✓ | [KDD 2019][Real-time Attention Based Look-alike Model for Recommender System](https://arxiv.org/pdf/1906.05022.pdf) | | Rank | [Logistic Regression](models/rank/logistic_regression/model.py) | ✓ | x | ✓ | x | / | | Rank | [Dnn](models/rank/dnn/model.py) | ✓ | ✓ | ✓ | ✓ | / | | Rank | [FM](models/rank/fm/model.py) | ✓ | x | ✓ | x | [IEEE Data Mining 2010][Factorization machines](https://analyticsconsultores.com.mx/wp-content/uploads/2019/03/Factorization-Machines-Steffen-Rendle-Osaka-University-2010.pdf) | diff --git a/models/recall/readme.md b/models/recall/readme.md index e5589188858a423a40adb28d7c70f8be800cdc86..27b37ffcc582783769de76feb5a7ec7401e2bf59 100755 --- a/models/recall/readme.md +++ b/models/recall/readme.md @@ -25,6 +25,7 @@ | NCF | Neural Collaborative Filtering | [WWW 2017][Neural Collaborative Filtering](https://arxiv.org/pdf/1708.05031.pdf) | | GNN | SR-GNN | [AAAI 2019][Session-based Recommendation with Graph Neural Networks](https://arxiv.org/abs/1811.00855) | | Fasttext | fasttext | [EACL 2017][Bag of Tricks for Efficient Text Classification](https://www.aclweb.org/anthology/E17-2068.pdf) | +| RALM | Real-time Attention Based Look-alike Model | [KDD 2019][Real-time Attention Based Look-alike Model for Recommender System](https://arxiv.org/pdf/1906.05022.pdf) | 下面是每个模型的简介(注:图片引用自链接中的论文)