diff --git a/README.md b/README.md index 748206c..72acd51 100644 --- a/README.md +++ b/README.md @@ -12,6 +12,11 @@ [A comprehensive toolkit package](https://pypi.org/project/gbiz-torch/) designed to help you accurately predict key metrics such as Click-Through Rates (CTR), Conversion Rates (CVR), uplift, and pricing strategies. Built with state-of-the-art algorithms and user-friendly interfaces, our package streamlines the process of forecasting and decision-making, allowing you to make data-driven choices with confidence. Whether you're looking to optimize your marketing campaigns, boost sales conversions, or fine-tune your pricing model, our package provides the insights you need to succeed in today's competitive market. +## Tutorial +You can learn to use the package by referring to the examples in the directory `./example` + +More solution examples will be released soon~ + ### Universal Layers in Commercial Algorithms The models currently implemented in recommendation algorithms: