What are explainable recommendation systems?

Jun 19, 2024 ... Recommendation systems rely on big data analytics and machine learning (ML) algorithms to find patterns in user behavior data and recommend ... Aug 16, 2021 ... Driven by the automated configuration, coordination, and management of machine learning predictive analytics algorithms, the recommendation ... Apr 14, 2022 ... A movie recommendation system, or a movie recommender system, is an ML-based approach to filtering or predicting the users' film preferences based on their ... Dec 17, 2024 ... A recommendation system is an AI-powered tool that makes suggestions for relevant goods, services, or content by analyzing user data. Aug 15, 2022 ... This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision. 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 ... In this paper, we have proposed and implemented a novel blockchain and machine learning-based drug supply chain management and recommendation system (DSCMR). Recommended Citation. Bommireddy, Durga Rajesh, "Recommendation System using machine learning for fertilizer prediction" (2024). Electronic Theses, Projects, ... Mar 29, 2022 ... Tutorial: Reinforcement learning for recommender systems ... Hands-on tutorial on RL and RLlib for building recommendation systems. In this 2-hour ... By leveraging the unsupervised Doc2Vec model trained on document-structured intrinsic MOF characteristics, the model embeds MOFs into a high-dimensional ...