Ashwin Murthy

Improved Bi-LSTM based recommendation system for cold start items with proposed latent factor-based feature

Abstract Recommender systems are crucial in various domains, enhancing user experience by recommending items based on historical preferences. However, the challenge of cold start items persists, where limited or no historical data impedes accurate recommendations. To tackle this issue, this paper introduces a novel rec...