A study of more than 45,000 women found that screening women according to their level of risk was as effective in detecting tumors as the one-size-fits-most screening currently recommended. By Roni ...

I am a GSSoC 2025 contributor and would like to propose the addition of a memory-based item-item collaborative filtering recommendation system to the machine learning techniques file of the repository ...

Download PDF Join the Discussion View in the ACM Digital Library Figure 1. An example of interaction between a Travel Agent and a user. The agent can serve as an information carrier for travel-related ...

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 ...

Abstract: Electronic commerce, or e-commerce, is the activity of trading services and commodities through the internet. Identifying the item that the consumer may buy from the enormous number of ...

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 ...

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 ...

The U.S. Army looks to implement an artificial intelligence technology designed to recommend actions to soldiers in the battlefield, C4ISRNet reported Wednesday. The report said the Army Research ...