Rating Prediction

Rating prediction focuses on accurately estimating numerical ratings, such as star ratings for products or apps, or chess player rankings, based on available data. Current research emphasizes leveraging large language models (LLMs) and deep learning architectures like CNN-LSTMs and transformers to analyze textual reviews, user behavior, and other contextual information for improved prediction accuracy. These advancements are significant for enhancing recommender systems, improving user experience on platforms like YouTube and short-video apps, and even informing feature development in software applications.