EasyRec is a deep learning framework that is used in recommendation scenarios. It is easy to use and provides a variety of models and features to meet your needs for customized recommendations. In recommendation scenarios, you can use deep learning to process large-scale data and complex models, obtain higher-level features, and automate processes such as feature engineering and model selection. Deep learning is an ideal choice to improve the recommendation performance and user satisfaction.
Machine Learning Designer encapsulates the core features of EasyRec into algorithm components that you can drag and use. Machine Learning Platform for AI (PAI) also provides a rich set of tools to facilitate the end-to-end customization of recommendation pipelines based on your requirements.
You can refer to the following examples to better understand EasyRec features: