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

arXiv:2404.08675v1 Announce Type: cross
Abstract: 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 …

abstract arxiv chat chatgpt conversation cs.ai cs.cl cs.ir design framework generative indeed index language language understanding natural natural language paradigm personalized prompts recommendation success training type understanding via words