基于SKYLINE的端对端Web旅游服务推荐技术设计与实现

发布时间：2018-04-15 14:47

本文选题：Skyline + 端对端技术　；参考：《电子科技大学》2016年硕士论文

【摘要】：随着互联网科技迅猛发展,人们对于网络在线的旅游推荐服务的需求也与日俱增,不仅从推荐服务的质量上,而且从在线用户的体验上都需要Web旅游推荐技术优势来达到引导消费的目的。构建满足在线用户个性化体验需求的新型流程模式成为当前软件技术发展的关键问题。对于推荐技术的研究和应用大多数时候停留在电子商务方面,端对端Web旅游服务推荐的研究和实现还比较少,因此,对此进行研究有着比较大空间。本文立足端到端Web旅游推荐服务技术,从整体架构出发,通过对Web旅游服务推荐的关键技术研究,明确了推荐服务系统的实现需求,分为四个子系统:用户管理子系统、喜好设置子系统、地理数据管理子系统、推荐服务子系统,针对子系统设计了系统整体流程,子系统功能模块、数据库建立方案以及地理组件,服务组件及地理分析组件的运用,规划了地理分析服务中常用的遗传算法和蚁群算法,并且使两者结合到一起,用遗传算法对大规模的地理数据进行筛选,再根据筛选出来的优化地理数据进行遗传算法的路径优化求解。最后通过对建立B/S结构的自动三层框架整体上实现Web旅游服务推荐系统。全文共分为五个部分:第一部分,研究国内外Web旅游服务推荐技术的发展现状,明确本文的研究方向和目标,确定本文的研究思路和写作结构。第二部分,对于设计端到端Web旅游推荐服务需要的各项技术分析,包括QoS(质量带宽服务)需要降低数据传输量所使用的R树和Quad树,以及遗传算法和蚁群算法进行详细的论述,阐明各个技术的工作原理及方法。第三部分,论述端到端Web旅游服务推荐系统的需求分析,明确本系统由四个子系统构成,分别是用户管理子系统、喜好设置子系统、地理数据管理子系统、推荐服务子系统。第四部分,论述端到端Web旅游服务推荐系统的整体设计,完成了系统工作原理及流程设计,并在此基础上设计了系统数据库。第五部分,采用自动三层框架结构实现了系统的整体框架,并针对每个子系统做出了其详细设计方案并实施,完成了Web旅游服务推荐系统,提供给用户优化的旅游线路数据和用户体验设置结合的推荐数据结果,达到推荐服务的目的并在地图显示的较高缩放级别中使用Skyline进行三维展示。
[Abstract]:With the rapid development of Internet technology, the demand for online travel recommendation services is also increasing, not only in terms of the quality of recommendation services.Moreover, the experience of online users needs the advantages of Web travel recommendation technology to guide consumption.Constructing a new process model to meet the needs of online users' personalized experience has become a key issue in the development of software technology.For the research and application of recommendation technology, most of the time stay in e-commerce, end-to-end Web tourism service recommendation research and implementation is relatively small, therefore, there is more space to study this.Based on the end-to-end Web tourism recommendation service technology, this paper starts from the whole structure, through the research on the key technology of Web tourism service recommendation, defines the realization requirement of the recommendation service system, which is divided into four subsystems: user management subsystem,Like to set up subsystem, geographical data management subsystem, recommend service subsystem, designed the whole system flow, subsystem function module, database establishment scheme and geographical component,With the application of service component and geographic analysis component, genetic algorithm and ant colony algorithm, which are commonly used in geographic analysis service, are planned, and the genetic algorithm is used to screen large scale geographic data.Then the genetic algorithm is used to solve the path optimization according to the optimized geographic data.Finally, the Web tourism service recommendation system is implemented by establishing an automatic three-layer framework of B / S structure.The paper is divided into five parts: the first part studies the development of Web tourism service recommendation technology at home and abroad, defines the research direction and goal of this paper, and determines the research ideas and writing structure of this paper.In the second part, the technical analysis of designing end-to-end Web travel recommendation service, including R-tree and Quad tree, genetic algorithm and ant colony algorithm, which need to reduce the amount of data transmission, are discussed in detail.Explain the working principle and method of each technology.The third part discusses the demand analysis of end-to-end Web tourism service recommendation system. It is clear that the system is composed of four subsystems: user management subsystem, preference subsystem, geographical data management subsystem, recommendation service subsystem.In the fourth part, the whole design of end-to-end Web travel service recommendation system is discussed, the working principle and flow design of the system are completed, and the database of the system is designed.In the fifth part, the whole frame of the system is realized by adopting the automatic three-layer frame structure, and the detailed design scheme and implementation of each subsystem are made, and the Web tourism service recommendation system is completed.The recommended data, which combines the optimized travel route data and the user experience setting to the user, achieves the purpose of the recommendation service and uses Skyline for 3D display in the higher zoom level of the map display.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.3

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