What are multi-objective recommendation systems?

Dec 17, 2024 ... A recommendation system is an AI-powered tool that makes suggestions for relevant goods, services, or content by analyzing user data. Oct 8, 2020 ... How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems. LinkedIn uses some very innovative machine learning techniques to ... May 2, 2020 ... We chose to use Bayesian Networks for modeling our systems. We also present a deep-learning-based approach to provide recommendations to prospects. May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... ... machine learning based course recommendation system for higher education students. principal component analysis (PCA) algorithm is used for feature selection. May 3, 2022 ... Model-based systems use various data mining and machine learning algorithms to develop a model for predicting the user's rating for an unrated ... Dec 20, 2023 ... Design a video recommendation system that presents recommendations on a homepage like YouTube to increase engagement. Apr 22, 2025 ... Recommendation engines in this category rely on machine learning algorithms, such as clustering models, regression, user-based k-nearest ... Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques. May 1, 2024 ... Summer 2024: Reinforcement Learning in Recommendation Systems (Withdrawn). Affiliations: STEM EDUCATION Research Leadership. Project Leader ...