ABSTRACT: Continuous professional development (CPD) is vital for special education teachers, although their perspectives on CPD diplomas in Saudi Arabia remain understudied. This study examined how in ...

Recommender systems are essential in e-commerce for assisting users in navigating large product catalogs, particularly in visually driven domains like fashion. Traditional keyword-based systems often ...

Makers of the most advanced artificial intelligence systems face obligations for transparency, copyright protection and public safety. The rules are not enforceable until next year. By Adam Satariano ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

Abstract: Recommender system are used to provide recommendations to users on all aspects technology and it is very important for every domain. There are different types of recommendation system are ...

This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional matrix factorisation by using neural networks to ...

In this repository, I implement a recommender system using matrix factorization. Here, two types of RS are implemented. First, use the factorized matrix for user and item. and second, rebuild the ...

Add a description, image, and links to the item-based-recommendation topic page so that developers can more easily learn about it.