What are the features used in content-based filtering?

kNN is a machine learning algorithm to find clusters of similar users based on common book ratings, and make predictions using the average rating of top-k ... By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds MOFs into a high-dimensional ... Jan 28, 2025 ... A recommendation engine is a system that analyzes user behavior, preferences, and historical interactions to suggest relevant content, products, ... Oct 4, 2023 ... Reinforcement Learning (RL) takes recommendation systems to a whole new level. Instead of static recommendations, RL algorithms make sequential ... Jan 6, 2021 ... A model is developed to recommend tools using a deep learning approach by analysing workflows composed by researchers on the European Galaxy server. May 2, 2021 ... This post discusses deep learning for recommender systems. The third post will discuss the winning solution, the steps involved, and also what made a ... The proposed livestreaming e-commerce recommendation system (LERS) enhances the exploration of new items by incorporating uncertainty into neural networks. 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 ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Feb 27, 2025 ... We've designed this course to expand your knowledge of recommendation systems and explain different models used in recommendation.