摘要
为了从大量的信息中检索出符合旅游者感兴趣的活动,文中设计了一种本体和地理信息系统相结合的推荐系统。该系统通过构建领域本体,使用户感兴趣的活动与一个或多个本体的概念相对应并充分考虑到人口数据、旅游动机、用户与系统的交互作用、用户提供的评级等因素,综合利用各种推荐技术和人工智能算法,系统检索出用户喜欢的旅游活动,有效地实现了语义化查询。
In order to retrieve the activities which are most interested by the tourist from a large amount of information, the paper designs a recommended system which is combined with the ontology and geographic information system. Through constructing the domain ontology, the interested activity of the user could correspond to one or more ontology concepts. In addition, by taking the factors of population data, travel motivations, interaction of the user with the system, user＇ s rating into account, applying many kinds of recommendation technologies and artificial intelligence algorithms, the system could retrieves the activities and achieves semantic query effectively.
出处
《信息技术》
2013年第2期135-139,共5页
Information Technology
关键词
地理信息系统
领域本体
推荐技术
人工智能算法
geographic information system
domain ontology
recommendation technology
artificial intelligence algorithms
