Introduction In recent years, recommender systems have become an essential part of various online platforms, aiding users in discovering personalized and relevant content. Traditional recommendation algorithms, such as collaborative filtering and content-based approaches, have seen significant advancements. However, these methods still struggle with sparsity, scalability, and cold-start problems. Language Model Continue Reading