Large Language Models Empowered Personalized Web Agents
Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat‐Seng Chua
Abstract
Web agents have emerged as a promising direction to automate Web task completion based on user instructions, significantly enhancing user experience. Recently, Web agents have evolved from traditional agents to Large Language Models (LLMs)-based Web agents. Despite their success, existing LLM-based Web agents overlook the importance of personalized data (e.g., user profiles and historical Web behaviors) in assisting the understanding of users' personalized instructions and executing customized actions.
Topics & Concepts
Computer scienceWorld Wide WebHuman–computer interactionNatural language processingTopic ModelingNatural Language Processing TechniquesRecommender Systems and Techniques