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Industrial course ( 236504) Data Insight Visualization for popular travel destinations and attractions Final Meeting. Supervisor: Erez Lotan , Orbitz World Wide Students: Roman Gurevitch & Amit Yaffe , CS, Technion.
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Industrial course (236504)Data Insight Visualization for popular travel destinations and attractions Final Meeting Supervisor: ErezLotan, Orbitz World Wide Students: Roman Gurevitch & Amit Yaffe, CS, Technion
Orbitz collects enormous amounts of data about travel habits of customers (anonymously). • We want to expose this data in an accessible and digested way to Orbitz’s customers so they can better plan their upcoming trip. Introduction
Develop visualization tool to provide users insights about where people tend to go to during vacations. • Create a tool which scores a location according to the reservation history in the area to be used in search results rating. Goals
Create Google maps interface with a heat-map layer. • Harvest historical reservation data and convert to entries for the heat-map layer. • Create user control elements. • Discover the right algorithm to be used with the score per location tool. • Development in accordance with Agile methodology. Methodology
Product - Client side consisting of the map and user controls and the server side consisting of the SQL server and Java server. • In addition– A score per location tool to assist in the scoring of search results. • Acquired knowledge in new programing environments (GWT, SQL, Client/Server) and methods (Agile/Scrum) Achievements
Study new development technologies and methods. • Combine Client - Server-DB in a single project • Performance - create a fluid, dynamic heat map with large DB. • Location score – find the appropriate method to compute location score quickly and accurately. Challenges
Google Maps Heat Map API was an adequate tool but not strong enough for those amounts of data. • The use of new technologies albeit common ones, proved time consuming. • The work with the industry supervisor proved to be productive and beneficial. Conclusions