Retraction Notice: Leveraging Reinforcement Learning to Improve Content Retrieval
Gomathinayagam Indira, Ganesh Chandrabhan Shelke, Bhuvnesh Sharma, Vaishali Singh, T R Mahesh, B Reddy · 2023
Reinforcement studying (RL) is an artificial intelligence (AI) paradigm that can be used to decorate content material retrieval systems, which frequently rent supervised gaining knowledge of strategies. It explains how traditional methods of content retrieval often struggle with providing accurate and relevant search results, and how reinforcement learning offers a potential solution by continuously learning and adapting to user behavior and preferences. The abstract also highlights the benefits and challenges of using this approach, as well as the potential impact it could have on the field of information retrieval. It could permit greater scalability and advanced user experience. The proposed method is predicted to surpass existing content material retrieval structures in terms of content material accuracy and efficiency.