Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Abstract: Due to the vast flow of information on the Internet, easy and effective access to information has become crucial. Recommender systems are important in information filtering, as they ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published official guidance about what it is and what they feel publishers should know ...

This project builds a book recommendation system using Machine Learning to help users find and discover books based on their personal preferences. The application uses real data and applies ...

Recommender systems have become indispensable in the information age, guiding users through vast datasets and enabling personalized, contextually relevant interactions. By leveraging user and item ...

Abstract: Agriculture is key to any country's economic growth. However, meeting food requirements of the present population due to the ever-rising human population, changing climatic conditions, and ...

The rise of Large Language Models (LLMs), such as LLaMA and ChatGPT, has opened new opportunities for enhancing recommender systems through improved explainability. This paper provides a systematic ...