From Information Overload to Intelligent Recommendation: The Power of Large Language Models

The uneven growth in internet technologies and electronic information is giving birth to the information overload. Diverse algorithms handle the problem of information overload with uneven outcomes. Recent trends in recommender systems opens a challenge for newbies to balance between the massive electronic information and diverse algorithms. In the era of artificial intelligence distinct language processing models (LLMs) conveniently construct an artificial environment. The article focuses on the artificial recommender system integrating large language models. The trust score value of 0.84 is significant for the recommendation system.