用大模型打造个性化行程助手，自动抓取最新资讯并按偏好定制路线。
Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning
- 基于Llama、T5等大模型生成个性化行程，结合用户偏好动态调整。
- 用户调研显示各年龄段均更倾向使用AI辅助旅行规划，满意度超传统方式。
- 创新点在于实时抓取博客新闻优化推荐，并支持需求变化即时重规划。
本文提出Roamify，一个由人工智能驱动的旅行助手，旨在简化旅行规划流程。我们测试并应用了Llama、T5等大语言模型，根据用户偏好生成个性化行程。用户调查显示，各年龄群体均更青睐AI辅助方式，验证了该助手的实用潜力。设计核心包括：D1）采用网页抓取技术从多个博客来源获取目的地最新新闻，显著提升行程建议质量；D2）结合用户偏好与推荐系统，实现按需动态调整行程。研究结果表明，Roamify有潜力改善并简化多年龄段用户的旅行规划体验。
原文摘要 · Abstract (English)
In this paper, we present Roamify, an Artificial Intelligence powered travel assistant that aims to ease the process of travel planning. We have tested and used multiple Large Language Models like Llama and T5 to generate personalised itineraries per user preferences. Results from user surveys highlight the preference for AI powered mediums over existing methods to help in travel planning across all user age groups. These results firmly validate the potential need of such a travel assistant. We highlight the two primary design considerations for travel assistance: D1) incorporating a web-scraping method to gather up-to-date news articles about destinations from various blog sources, which significantly improves our itinerary suggestions, and D2) utilising user preferences to create customised travel experiences along with a recommendation system which changes the itinerary according to the user needs. Our findings suggest that Roamify has the potential to improve and simplify how users across multiple age groups plan their travel experiences.
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