A High Level Model for Developing Intelligent Visual Travel Recommender Systems

A High Level Model for Developing Intelligent Visual Travel Recommender Systems
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开发智能视觉旅游推荐系统的高级模型

DOI:
10.1007/978-3-211-69566-1_4
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发表时间:
2007
期刊:
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影响因子:
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通讯作者:
N. Sharda
N. Sharda
中科院分区:
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文献类型:
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作者:
Mohan Ponnada;N. Sharda

文献摘要

被引文献

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本文提出了一个智能视觉旅游推荐系统(IV-TRS)的模型。IV-TRS是一种利用图像和视频等视觉信息以及沿着音频来呈现目的地的虚拟旅游的系统。IV-TRS模型分为三个层次,即增强Web层、应用层和智能层。IV-TRS利用TRIPS(使用基于图像的规划与SCORM的旅游推荐)概念,将以可共享内容对象(SCOs)形式存储的相关旅游数据汇集在一起。增强Web层由存储为SCO的建立在SCORM标准上的数据组成,其位置由CORPORANT解决。SCORM(Shamble Content Object Reference Model)是一个定义如何通过打包数据和元数据来存储、引用和使用信息的模型。CORPORATION(内容对象存储库发现和注册/解析架构)是一个模型,旨在通过网络定位和引用SCORM存储库.智能层提供系统的推理引擎,可以基于语义网技术、专家系统技术或人工神经网络技术。在本研究中,我们着重于建立智能层的语义网技术。应用层由两个组件组成,即搜索和表示。搜索组件利用CORPORATION功能来抓取和索引互联网上的SCO。Presentation组件旨在提供一个用户界面,让用户根据个人偏好定制演示。IV-TRS系统将为用户提供虚拟体验,以支持更好的目的地选择和旅游规划。
This paper presents the model of an Intelligent Visual Travel Recommender system (IV-TRS). IV-TRS is a system that makes use of visual information such as images and video, along with audio, to present a virtual tour of the destination. The IV-TRS model is divided into three layers, namely Augmented Web, Application and Intelligence layers. The IV-TRS makes use of the TRIPS (Tour Recommendation using Image-Based Planning with SCORM) concept to bring together relevant tourism data stored in the form of Sharable Content Objects (SCOs). The Augmented Web Layer consists of data stored as SCO’s built on the SCORM standard with their location is resolved by CORDRA. SCORM (Shamble Content Object Reference Model) is a model that defines how information is to be stored, referenced and used by packaging data with metadata. CORDRA (Content Object Repository Discovery and Registration/Resolution Architecture) is a model that aims to locate and reference SCORM repositories over the web. The Intelligence Layer provides the reasoning engine of the system, and can be built on Semantic Web technology, Expert Systems technology, or Artificial Neural Networks. For this research, we focus on the Semantic Web technology for building the Intelligence Layer. The Application layer is made up of two components; namely, Search and Presentation. The Search component makes use of the CORDRA functionality to crawl and index the SCO’s on the Internet. The Presentation component aims to provide a user interface that lets the user customize the presentation based on personal preferences. The IV-TRS system will provide the user a virtual experience to support better destination selection, and tour planning.