Adobe Inc. (20240420205). USING GENERATIVE ARTIFICIAL INTELLIGENCE TO OPTIMIZE PRODUCT SEARCH QUERIES
USING GENERATIVE ARTIFICIAL INTELLIGENCE TO OPTIMIZE PRODUCT SEARCH QUERIES
Organization Name
Inventor(s)
Soumya Unnikrishnan of Austin TX (US)
Michele Saad of Austin TX (US)
Bingxuan Liang of Kirkland WA (US)
USING GENERATIVE ARTIFICIAL INTELLIGENCE TO OPTIMIZE PRODUCT SEARCH QUERIES
This abstract first appeared for US patent application 20240420205 titled 'USING GENERATIVE ARTIFICIAL INTELLIGENCE TO OPTIMIZE PRODUCT SEARCH QUERIES
Original Abstract Submitted
methods and systems are provided for using generative ai to optimize product search queries. in embodiments described herein, product descriptions and product images for a plurality of products are obtained. a multi-modal style classification model classifies each product into a corresponding style of a plurality of styles based on the product's product description and product image. relationships of each product to other products in the plurality of products are stored in a knowledge graph based on the corresponding style of each product and the corresponding product description of each product. an image is generated by a text-to-image diffusion model with a set of products of the plurality of products based on the relationships of each product of the plurality of products to other products in the plurality of products.
