Research on large language model news recommendation technology based on mixed prompt

With the emergence of massive news every day leading to information overload, it is difficult for people to select the content they are really interested in from numerous news articles. The language knowledge and strong generalization ability of the large model itself provide the possibility of intelligent news recommendation. This paper does not fine-tune the big language model, but uses the prompt engineering technology of the big language model to design a hybrid prompt engineering instruction combining prompt words, context learning and thought chain prompt to stimulate the recommendation performance of the big language model, and realizes the intelligent news recommendation of the big language model.