How do you present the performance of your recommendation system to stakeholders?

Mar 28, 2023 ... Machine learning algorithms can identify patterns and relationships in data that are not immediately apparent to humans. This enables ... May 18, 2023 ... A portfolio recommendation system that utilizes machine learning techniques to generate profitable {portfolios for users is proposed. The system ... Apr 19, 2021 ... I developed a game recommendation system model. It was an extremely complex development for me, as I am still gaining experience and knowledge in Machine ... 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 ... Aug 28, 2020 ... IMF Working Papers. Intelligent Export Diversification: An Export Recommendation System with Machine Learning. By Natasha X Che. August ... Content-based filtering recommends items based on the similarity in features between an item and a user preference. Create machine learning recommendation systems with deep learning, collaborative filtering, and Python. 3 days ago ... Gained familiarity with various machine learning algorithms used in recommendation systems, such as matrix factorization and deep learning ... 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. Jan 15, 2021 ... However, a new trend has emerged in the field since the introduction of deep reinforcement learning (DRL), which made it possible to apply RL to ...