Enhancing Recommendation Systems for the Cold Start Challenge: A Two-Stage Content-Boosted Collaborative Filtering Approach
Vinay Kumar Matam, A. L. Sreenivasulu, G. Naga Pavani · Advances in engineering research/Advances in Engineering Research · 2025
The dynamic world of e-commerce demands efficient recommendation systems to help users discover relevant products.However, a major hurdle arises when new users join a platform.Without any historical data, traditional recommendation techniques struggle to provide personalized suggestions.This 'cold-start' challenge remains a significant challenge in the field.Deep learning offers a potential solution by enabling systems to learn from limited information and gives more accurate recommendations.Exploring the application of deep learning to address the cold-start problem across various domains is a promising area of research.