Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
IEEE

Enhanced Low-Rank Matrix Decomposition for High-Resolution UAV-SAR Imagery

Abstract: Low-rank matrix decomposition is effective for sparse recovery. However, the conventions are limited in accuracy for high-resolution synthetic aperture radar (SAR) imagery due to the ...
Scientific Research Publishing

Study on the Implementation Path of Management by Objectives in the Progress of Foreign Government Loan Projects

Foreign Government Loan Projects, Project Progress Management, Work Breakdown Structure (WBS), PERT Duration Estimation Share ...
IEEE

A Framework for Compressed Weighted Nonnegative Matrix Factorization

Abstract: In this paper we propose a novel framework that successfully combines random projection or compression to weighted Nonnegative Matrix Factorization (NMF). Indeed a large body of NMF research ...
BBC

How to multiply and divide by 0, 1, 10 and 100

Multiplication is working out how many groups of something you have altogether. Division is working how many you get, after sharing a number between another number. You can use place value charts to ...
GitHub

Food Recipe Recommender using Neural Matrix Factorization

Food lovers and home cooks are constantly seeking inspiration and guidance to elevate their culinary journeys. A recipe recommender system can offer tailored suggestions based on individual ...