What are some techniques for efficient similarity computation?

Apr 27, 2023 ... A recommendation system is a type of machine learning system that provides personalized recommendations to users based on their past behaviors, preferences, ... The proposed livestreaming e-commerce recommendation system (LERS) enhances the exploration of new items by incorporating uncertainty into neural networks. Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... Content-based Recommendation Systems (CbRS) is a research area in which Machine Learning (ML) strategies can be applied with success. Apr 10, 2024 ... Hello everyone, In the course “Machine Learning Specialization” Andrew mentions that we can build deep-learning recommendation systems, ... Aug 22, 2017 ... Netflix uses machine learning and algorithms to help break viewers' preconceived notions and find shows that they might not have initially chosen. Feb 13, 2023 ... The proposed collaborative filtering (CF) method categorizes active learners into one learner group. The proposed model has experimented on ... The main objective of the Movie Recommendation System is to develop an algorithm that predicts movies a user is most likely to enjoy. By using machine learning ... Explore and run machine learning code with Kaggle Notebooks | Using data from Articles sharing and reading from CI&T DeskDrop. A recommendation system (or recommender system) is a class of machine learning that uses data to help predict, narrow down, and find what people are looking ...