Dialogue System with Dynamic Prompt Selection Based on Dialogue Content

Abstract

The system is composed of three modules: summarization, transition, and searching.In the summarization module, a large language model (LLM) summarizes past dialogue contentto generate the necessary text for the next response. This enables the LLM to comprehensivelyunderstand the dialogue history, leading to more coherent and contextually relevant responses. Thetransition module allows the LLM to reference the summary and determine whether the objectiveof each phase has been achieved. If necessary, it facilitates the transition to the next phase.By employing appropriate prompts for each phase, the system ensures step-by-step, goal-orientedresponse generation. The search module is activated when suggesting tourist destinations. Itestimates user preferences based on the summarized information and searches for destinations thatalign with those preferences. By integrating these three modules, the system maintains dialogueconsistency while delivering personalized tourist recommendations that effectively meet user needs.