diff --git a/doc/imgs/dssm.png b/doc/imgs/dssm.png new file mode 100644 index 0000000000000000000000000000000000000000..c1c462b825225ce74f9669dc1b301ced8823287d Binary files /dev/null and b/doc/imgs/dssm.png differ diff --git a/doc/imgs/gnn.png b/doc/imgs/gnn.png new file mode 100644 index 0000000000000000000000000000000000000000..8a5e111e92853a92cd04df5de1c347f85afde56f Binary files /dev/null and b/doc/imgs/gnn.png differ diff --git a/doc/imgs/gru4rec.png b/doc/imgs/gru4rec.png new file mode 100644 index 0000000000000000000000000000000000000000..ab7f6074b15ee85ce6f24e19ad74f3c16a72559d Binary files /dev/null and b/doc/imgs/gru4rec.png differ diff --git a/doc/imgs/multiview-simnet.png b/doc/imgs/multiview-simnet.png new file mode 100644 index 0000000000000000000000000000000000000000..01c6974d6fb60b317b741669a41f2eecd949ca57 Binary files /dev/null and b/doc/imgs/multiview-simnet.png differ diff --git a/doc/imgs/ssr.png b/doc/imgs/ssr.png new file mode 100644 index 0000000000000000000000000000000000000000..03326c1681c56cfaa53ea6e0593b3fdee0c016e5 Binary files /dev/null and b/doc/imgs/ssr.png differ diff --git a/doc/imgs/word2vec.png b/doc/imgs/word2vec.png new file mode 100644 index 0000000000000000000000000000000000000000..947ff6174685fd0ce24632d3c75487aa3d011df3 Binary files /dev/null and b/doc/imgs/word2vec.png differ diff --git a/models/match/readme.md b/models/match/readme.md index c2b52d1c2dd3b28715bb9b9c8660aa9e26880555..1115eabd88461439e1d40c4ba808bdcd6d36b23c 100755 --- a/models/match/readme.md +++ b/models/match/readme.md @@ -25,6 +25,18 @@ | DSSM | Deep Structured Semantic Models | [Learning Deep Structured Semantic Models for Web Search using Clickthrough Data](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/cikm2013_DSSM_fullversion.pdf)(2013) | | MultiView-Simnet | Multi-view Simnet for Personalized recommendation | [A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/frp1159-songA.pdf)(2015) | +下面是每个模型的简介（注：图片引用自链接中的论文） + +[DSSM](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/cikm2013_DSSM_fullversion.pdf): +

+ +

+ +[MultiView-Simnet](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/frp1159-songA.pdf): +

+ +

+ ## 使用教程 ### 数据处理 ### 训练 diff --git a/models/recall/readme.md b/models/recall/readme.md index f1e90134e7808b46c310cb440ced306e4c467122..b5da0779d213e53ff92a4546ae75dee978c8c546 100755 --- a/models/recall/readme.md +++ b/models/recall/readme.md @@ -22,21 +22,38 @@ | 模型 | 简介 | 论文 | | :------------------: | :--------------------: | :---------: | -| GNN | SR-GNN | [Session-based Recommendation with Graph Neural Networks](https://arxiv.org/abs/1811.00855)(2018) | +| Word2Vec | word2vector | [Distributed Representations of Words and Phrases and their Compositionality](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf)(2013) | | GRU4REC | SR-GRU | [Session-based Recommendations with Recurrent Neural Networks](https://arxiv.org/abs/1511.06939)(2015) | | SSR | Sequence Semantic Retrieval Model | [Multi-Rate Deep Learning for Temporal Recommendation](http://sonyis.me/paperpdf/spr209-song_sigir16.pdf)(2016) | -| TDM | Tree-based Deep Model | [Learning Tree-based Deep Model for Recommender Systems](https://arxiv.org/pdf/1801.02294.pdf)(2018) | -| Word2Vec | word2vector | [Distributed Representations of Words and Phrases and their Compositionality](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf)(2013) | +| GNN | SR-GNN | [Session-based Recommendation with Graph Neural Networks](https://arxiv.org/abs/1811.00855)(2018) | + +下面是每个模型的简介（注：图片引用自链接中的论文） + +[Word2Vec](https://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf): +

+ +

+ +[GRU4REC](https://arxiv.org/abs/1511.06939): +

+ +

+ +[SSR](http://sonyis.me/paperpdf/spr209-song_sigir16.pdf): +

+ +

+ +[GNN](https://arxiv.org/abs/1811.00855): +

+ +

## 使用教程 ### 数据处理 -```shell -sh data_process.sh -``` + ### 训练 -```shell -python -m paddlerec.run -m config.yaml -d cpu -e single -``` + ### 预测 ## 效果对比 @@ -47,7 +64,6 @@ python -m paddlerec.run -m config.yaml -d cpu -e single | DIGINETICA | GNN | -- | 0.507 | | RSC15 | GRU4REC | -- | 0.67 | | RSC15 | SSR | -- | 无 | -| - | TDM | -- | -- | | 1 Billion Word Language Model Benchmark | Word2Vec | -- | 0.54 | ## 分布式 @@ -57,5 +73,4 @@ python -m paddlerec.run -m config.yaml -d cpu -e single | DIGINETICA | GNN | -- | -- | -- | -- | | RSC15 | GRU4REC | -- | -- | -- | -- | | RSC15 | SSR | -- | -- | -- | -- | -| - | TDM | -- | -- | -- | -- | | 1 Billion Word Language Model Benchmark | Word2Vec | -- | -- | -- | -- |