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Developing Visual Tourism Recommender Systems

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Tourism recommender systems (TRS) have become popular in recent years; however, most lack visual means of presenting the recommendations. This paper presents ways of developing visual travel recommender systems (V-TRS). The two popular travel recommender systems being used today are the Trip- Matcher™ and Me-Print™. Tour recommendation using image-based planning using SCORM (TRIPS) is a system that aims to make the presentation more visual. It uses SCORM and CORDRA standards. Sharable content object reference model (SCORM) is a standard that collates content from various Web sites, and content object repository discovery and registration/resolution architecture (CORDRA) aims to locate and reference SCORM repositories throughout the Internet. The information collected is stored in the form of an XML file. This XML file can be visualised by either converting it into a Flash movie or into a synchronized multimedia integration language (SMIL) presentation. A case study demonstrating the operation of current travel recommender systems also is presented. Further research in this area should aim to improve user interaction and provide more control functions within a V-TRS to make tour-planning simple, fun and more interactive.
Title: Developing Visual Tourism Recommender Systems
Description:
Tourism recommender systems (TRS) have become popular in recent years; however, most lack visual means of presenting the recommendations.
This paper presents ways of developing visual travel recommender systems (V-TRS).
The two popular travel recommender systems being used today are the Trip- Matcher™ and Me-Print™.
Tour recommendation using image-based planning using SCORM (TRIPS) is a system that aims to make the presentation more visual.
It uses SCORM and CORDRA standards.
Sharable content object reference model (SCORM) is a standard that collates content from various Web sites, and content object repository discovery and registration/resolution architecture (CORDRA) aims to locate and reference SCORM repositories throughout the Internet.
The information collected is stored in the form of an XML file.
This XML file can be visualised by either converting it into a Flash movie or into a synchronized multimedia integration language (SMIL) presentation.
A case study demonstrating the operation of current travel recommender systems also is presented.
Further research in this area should aim to improve user interaction and provide more control functions within a V-TRS to make tour-planning simple, fun and more interactive.

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