Generative AI is revolutionizing how companies in numerous domains function and e-commerce isn’t any exception. As e-commerce continues to develop, so does the necessity for extra scalable and complicated options. In these sequence of posts, we discover numerous functions of generative AI in e-commerce. Partly 1, we have a look at how generative AI helps in product suggestions. We first use merchandise metadata to be taught consultant embeddings for them, and present how these embeddings assist in classifying gadgets. We then compute person embedding primarily based on their historic purchases. Lastly, we use the realized customers embeddings and gadgets embeddings to suggest merchandise. Partly 2 of the sequence, we are going to look into producing participating product descriptions and how you can extract key constructive and unfavorable options from critiques.
Let’s get began with half 1. Right here is the desk of content material for this publish:
1. The Dataset
- Artificial Information Technology
- Merchandise Metadata Dataset Technology
- Consumer-Merchandise Dataset Technology
3. Studying Consultant Embeddings for Gadgets
- Information Preparation and Cleansing