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

Recommendations for Culinary Places in Yogyakarta Using Matrix Factorization and Stochastic Gradient Descent

Abstract: Despite easy access to information, people struggle to find accurate culinary. The recommender system aims to provide recommendations that suit users’ needs. Matrix factorization (MF) is the ...
IEEE

Genre-Based Movie Recommender System with XGBoost

Abstract: Recommender systems are crucial components of online shopping platforms, as they enhance sales by suggesting relevant products to users. It provides personalized recommendations of products ...