What are the different strategies for initiating and maintaining a conversation in a recommendation system?

Dec 20, 2023 ... Design a video recommendation system that presents recommendations on a homepage like YouTube to increase engagement. 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 ... Moreover, recommender systems are among the most powerful machine learning systems that online retailers implement in order to drive incremental revenue. 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, ... Most of these existing systems are user-based ratings where content-based and collaborative-based learning methods are used. These systems' irrationality is ... 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 ... Mar 15, 2023 ... This survey aims to provide a timely and comprehensive overview of recent trends of deep reinforcement learning in recommender systems. 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 ... 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.