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 ...

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 ...

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 ...

Lightweight content-based movie recommender that converts movie metadata (titles, genres, descriptions) into TF‑IDF vectors and ranks films by cosine similarity. Clean, modular Python code with ...

Abstract: Code reuse is a pivotal practice in software development, promoting efficiency, reducing redundancy, and ensuring higher quality software products. Recommender systems play a crucial role in ...

ABSTRACT: Background: Centered on Alibaba Group, Hangzhou’s e-commerce has developed a distinctive model encompassing B2B, B2C, and C2C frameworks, while integrating advanced technologies such as ...

Adopting advanced AI technologies, including Multi-Agent Systems (MAS) powered by LLMs, presents significant challenges for organizations due to high technical complexity and implementation costs.