InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

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

Algorithm vs. Model in Machine Learning: What’s the Difference?

If you are learning AI or machine learning (ML), you have probably heard two terms again and again: "algorithm" and "model." They sound similar, and many people use them interchangeably. But they are ...
Nature

SDG driven carbon aware machine learning model recommendation framework

Understanding the carbon footprint is crucial for sustainable AI development. This work presents a framework called “carbon aware optimistic machine learning recommendation framework” (CAOMLF) that ...
IEEE

Recommendation System-Based E-Commerce Website Using Machine Learning Algorithms

Abstract: E-commerce offers convenience to consumers by transforming the business landscape using recommendation systems driven by Machine Learning (ML) algorithms. It enhances user experience and ...
IEEE

Calibrated Recommendation Algorithm for Multi-Source Heterogeneous Online Learning Resources: A Dual Knowledge Graph Approach

Abstract: Online learning recommendation is critical for talent cultivation and high-quality education. However, existing algorithms often prioritize personalization over learning goals, leading to ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Purdue University

ADA Title II Instructor Resource Recommendations

The April 24th ADA instructional materials compliance deadline is approaching, and instructors across the Purdue system are actively preparing their course materials to meet updated accessibility ...
Searchenginejournal.com

How Google Discover Works: Recommender System Algorithms

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 ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Nature

Personalized fitness recommendations using machine learning for optimized national health strategy

The rise of non-communicable diseases (NCDs) such as obesity, cardiovascular disease, and type 2 diabetes has placed a significant burden on global health systems. Active participation in physical ...
CNET

Facebook's Algorithm Update Aims to Show You Reels You'll Actually Like, Even if They're AI

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a reporter with CNET covering artificial ...