E-Resources Content Recommendation System Using AI
Balusamy Nachiappan
Abstract
In the virtual age, the huge amount of available content material fabric poses a challenge for clients to find out applicable facts suited to their alternatives. To cope with this problem, the authors advise a practical content advice system (ICRS) that leverages superior synthetic intelligence (AI) techniques to enhance content discovery and person engagement. This tool employs a multifaceted method, incorporating collaborative filtering, content material-based totally absolutely filtering, and deep analyzing algorithms to generate customized tips. The collaborative filtering thing of the gadget analyzes user behaviors, alternatives, and interactions with content to grow to be aware about styles and similarities with exceptional users. This collaborative method helps in recommending content that aligns with a user's interests based totally on the alternatives of like-minded people.