【作者】 文益民； 史一帆； 蔡国永； 缪裕青； 龙刚；

【Author】 WEN Yimin;SHI Yifan;CAI Guoyong;MIAO Yuqing;LONG Gang;School of Computer Science and Engineering, Guilin University of Electronic Technology;Guangxi Key Laboratory of Trusted Software;Guilin Tourism Development Corporation;

【机构】 桂林电子科技大学计算机科学与工程学院； 广西可信软件重点实验室； 桂林旅游发展总公司；

【摘要】 快速发展的在线旅游业与日益严重的信息过载现象,使得个性化旅游推荐愈来愈受人们关注。它能为用户推荐符合其需求和偏好的旅游产品,以帮助用户快速做出旅游决策。从个性化旅游推荐的概念、内容、方法、用到的数据、实际应用以及其面临的挑战六个方面综合阐述与分析了个性化旅游推荐,并指出相对于其他个性化推荐,个性化旅游推荐更具有其独特的一面,处理起来将更难,面临的挑战将更大。更多还原

【Abstract】 The rapidly developed online travel and the increasingly serious phenomenon of information overload make the personalized travel recommendation more and more popular. It can provide a user with the tourism products that reflect his(or her) needs and preferences, and help him(or her) make travel decisions more quickly. In this paper, the personalized travel recommendation is summarized and analyzed from six aspects: concept, contents, methods, used data, practical applications and challenges. It can be pointed out that comparing to other personalized recommendation, personalized travel recommendation has its unique side, it will be harder to deal with, and the challenges it brings will be even greater更多还原