diff --git a/README_en.md b/README_en.md index 91de4449363b62dc771d8825ac9ab20daff13648..552dbc15b86f0f0c48b6a6d2225e8d0ca69044cc 100644 --- a/README_en.md +++ b/README_en.md @@ -12,22 +12,20 @@

-- Recommendation system is the key to help users get information of interest efficiently in the era of explosive growth of Internet information +- Recommendation system is the key to help users get useful infomation from big data. -- The recommendation system is also a silver bullet to help the product attract users, retain users, increase user stickiness and improve user conversion. +- Recommendation system is also a silver bullet to attract users, retain users, increase user stickiness and improve user conversion. -- Excellent recommendation system can help the product establish a good reputation, and help the product gain market share - - > It can be said that who can master and make good use of the recommendation system, who can get the first chance in the fierce competition of information distribution. + > Who can better use the recommendation system, who can gain more advantage in the fierce competition. > - > At the same time, there are many problems that perplex the developers of the recommendation system, such as: huge data volume, complex model structure, inefficient distributed training environment, demanding online deployment requirements, all of which are too numerous to enumerate. + > At the same time, there are many problems in the process of using the recommendation system, such as: huge data volume, complex model structure, inefficient distributed training environment, demanding online deployment requirements, and so on.

What is PaddleRec ?

-- A quick start tool of search & recommendation model based on [PaddlePaddle](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html) -- The whole process solution of recommendation system for beginners, developers and researchers -- Complete recommendation algorithm library including content understanding, matching, recall, ranking, multi-task, re-rank etc. +- A quick start tool of search & recommendation algorithm based on [PaddlePaddle](https://www.paddlepaddle.org.cn/documentation/docs/en/beginners_guide/index_en.html) +- The complete solution of recommendation system for beginners, developers and researchers +- Recommendation algorithm library including content-understanding, matching, recall, ranking, multi-task, re-rank etc. | Type | Algorithm | CPU | GPU | Parameter-Server | Multi-GPU | Paper | @@ -84,9 +82,9 @@ ```bash python -m pip install paddle-rec ``` - > This method will download and install`paddlepaddle-v1.7.2-cpu`，if you are prompted that `PaddlePaddle` can not be installed automatically，You need to install `PaddlePaddle` manually，and then install `Paddlerec` again： - > - Download PaddlePaddle whl from [address](https://pypi.org/project/paddlepaddle/1.7.2/#files) and install by pip. - > - Directly install `PaddlePaddle` by pip，`python -m pip install paddlepaddle==1.7.2 -i https://mirror.baidu.com/pypi/simple` + > This method will download and install `paddlepaddle-v1.7.2-cpu`. If `PaddlePaddle` can not be installed automatically，You need to install `PaddlePaddle` manually，and then install `PaddleRec` again： + > - Download [PaddlePaddle](https://pypi.org/project/paddlepaddle/1.7.2/#files) and install by pip. + > - Install `PaddlePaddle` by pip，`python -m pip install paddlepaddle==1.7.2 -i https://mirror.baidu.com/pypi/simple` > - Other installation problems can be raised in [Paddle Issue](https://github.com/PaddlePaddle/Paddle/issues) or [PaddleRec Issue](https://github.com/PaddlePaddle/PaddleRec/issues) 2. **Install by source code** @@ -107,12 +105,12 @@ - Install PaddleRec-GPU - After installing `PaddleRec`，You need to manually install `paddlepaddle-gpu`，select the appropriate version according to your environment (CUDA / cudnn)，please refer to the installation tutorial[Installation Manuals](https://www.paddlepaddle.org.cn/documentation/docs/en/install/index_en.html) + After installing `PaddleRec`，please install the appropriate version of `paddlepaddle-gpu` according to your environment (CUDA / cudnn)，refer to the installation tutorial [Installation Manuals](https://www.paddlepaddle.org.cn/documentation/docs/en/install/index_en.html)

Quick Start

-We take the `dnn` algorithm as an example to introduce the quick start of `PaddleRec`, and we took 100 pieces of training data from [Criteo Dataset](https://www.kaggle.com/c/criteo-display-ad-challenge/): +We take the `dnn` algorithm as an example to get start of `PaddleRec`, and we take 100 pieces of training data from [Criteo Dataset](https://www.kaggle.com/c/criteo-display-ad-challenge/): ```bash # Training with cpu @@ -127,13 +125,13 @@ python -m paddlerec.run -m paddlerec.models.rank.dnn * [Distributed deep learning](doc/ps_background.md) ### Introductory Project -* [Ten minutes to learn PaddleRec](https://aistudio.baidu.com/aistudio/projectdetail/559336) +* [Get start of PaddleRec in ten minutes](https://aistudio.baidu.com/aistudio/projectdetail/559336) ### Introductory tutorial -* [Prepare Data](doc/slot_reader.md) -* [HyperParameter of model](doc/model.md) -* [Start Training](doc/train.md) -* [Start Predicting](doc/predict.md) +* [Data](doc/slot_reader.md) +* [Model](doc/model.md) +* [Train](doc/train.md) +* [Predict](doc/predict.md) * [Serving](doc/serving.md) @@ -169,9 +167,9 @@ python -m paddlerec.run -m paddlerec.models.rank.dnn ### License [Apache 2.0 license](LICENSE) -### Contack us +### Contact us -For any feedback or to report a bug, please propose a [GitHub Issue](https://github.com/PaddlePaddle/PaddleRec/issues) +For any feedback, please propose a [GitHub Issue](https://github.com/PaddlePaddle/PaddleRec/issues) You can also communicate with us in the following ways：