RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

Understand

ChatGPT has achieved remarkable success in natural language understanding.

• Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we design a new chat framework in item index level for the recommendation task.
• Our novelty mainly contains three parts: model, training and inference.
• For the model part, we adopt Generative Pre-training Transformer (GPT) as the sequential recommendation model and design a user modular to capture personalized information.