  Large-scale language models (LLMs), such as ChatGPT, are becoming
increasingly sophisticated and exhibit human-like capabilities, playing an
essential role in assisting humans in a variety of everyday tasks. An important
application of AI is interactive recommendation systems that respond to human
inquiries and make recommendations tailored to the user. In most conventional
interactive recommendation systems, the language model is used only as a
dialogue model, and there is a separate recommendation system. This is due to
the fact that the language model used as a dialogue system does not have the
capability to serve as a recommendation system. Therefore, we will realize the
construction of a dialogue system with recommendation capability by using
OpenAI's Chat-GPT, which has a very high inference capability as a dialogue
system and the ability to generate high-quality sentences, and verify the
effectiveness of the system.
