Aiming to the characteristics of the tourism domain and the application limitations of the traditional recommendation technologies, propose a constraint-based travel recommendation system design,and the recommendation engine of this system was designed in detail. In this system, the tourism domain knowledge, recommendation rules, personalization rules and other knowledge were acquired through the visual knowledge acquisition tools,make use of the interaction & personalization agent to elicit the user' s preferences and requirements by the conversational interactive approach. Multi-attribute utility theory was employed to rank the recommended results. Compared to the traditional recommendation methods,the use of constraint-based recommendation technology can provide more accurate,personalized travel recommendation service.%针对旅游领域的特点和传统推荐技术的应用局限性,提出一种基于约束的旅游推荐系统的设计方案,并对系统的推荐引擎进行了详细设计.系统通过可视化的知识获取工具高效地获取旅游领域知识、推荐规则、个性化规则等知识,使用交互＆个性化代理以会话式的交互方式逐步地启发用户的偏好和需要,利用多属性效用理论对推荐结果进行排序.相比传统的推荐方法,利用基于约束的推荐技术,能够为用户提供更加准确、个性化的旅游推荐服务.
展开▼
