ChatGPT와 딥러닝 알고리즘의 기능 비교

A Comparison of ChatGPT and Deep Learning Algorithm: Recommendation System for Tourism and Cafe

As a heuristic approach for comparative analysis, the functions of ChatGPT and deep learning recommendation algorithm were examined through the case of Chuncheon tourist destination and cafe recommendation system. As a result of the study, it was found that ChatGPT's recommendation system is not a preference-based personalized method that identifies individual preferences and tastes and recommends corresponding content, but a sequential method that provides information on the characteristics of various types of content and allows users to make final choices. In contrast, the deep learning recommendation algorithm is a personalized recommendation system that first learns information about individual preferences and tastes and recommends content applying a user-based or item-based algorithm. As a result, it can be said that ChatGPT values ​​diversity of content from the perspective of providing balanced information that emphasizes generality, and deep learning recommendation algorithm values ​​personalized service that emphasizes specificity.