Luigi Federico
Search Engine enhanced with Generative AI.
Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
Abstract
E-commerce or website that don’t customize results based on customer behavior and interests may display products that aren’t relevant to the buyer or return zero results. Research shows that 80% of shoppers will abandon a site after a poor search experience. The goal of the project is 1) to study the state of the art of Generative AI applied to this field 2) to design and implement a search engine component that accepts user queries and interacts with a generative AI model 3) to incorporate user feedbacks into the training process for continuously refining and improving its performance.
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