Machine Learning: Expedia Invests in Latest Technology to Address Customer Needs - CW15 - OMAHA

Machine Learning: Expedia Invests in Latest Technology to Address Customer Needs

Information contained on this page is provided by an independent third-party content provider. WorldNow and this Station make no warranties or representations in connection therewith. If you have any questions or comments about this page please contact pressreleases@worldnow.com.

SOURCE Expedia.com

Expedia.com, sponsor of the ICDM data mining contest, discusses importance of implementing new technology solutions to present best deals to customers

BELLEVUE, Wash., Feb. 18, 2014 /PRNewswire/ -- Expedia.com (NASDAQ: EXPE), the world's largest online travel company, today released information on its commitment to developing its internal data science program. The company recently worked with the IEEE organizers to sponsor their International Conference on Data Mining (ICDM) data mining contest. The results were vast and, as a result, Expedia.com has committed to participating in additional ventures related to data science, big data, and machine learning in the near future.

(Logo:  http://photos.prnewswire.com/prnh/20110121/SF33870LOGO-b)

One of the first companies to take travel booking to the internet, Expedia.com has long been a business founded on technology. Today's technology advancements have opened doors to build intelligent, responsive algorithms that yield travel results catered to individual customers. Common booking difficulties among travelers – such as deciding how to choose a hotel based on its amenities, size, and price – can be addressed using algorithms built on classical statistics. But as the travel industry gathers more information about booking trends, it has become clear that investing in algorithms based on machine learning is the most effective path to discover and present the best offers to Expedia.com customers.

Expedia.com recently sponsored the annual ICDM data mining competition, which focused on utilizing a large hotel search data set to rank search results as a means to increase sales. Entrants were directed to predict the optimal order of displaying results for an online hotel search based on some of the following criteria: hotel attributes, customer purchase history and price competitiveness.

"Search is at the core of our business so it is vital to continuously evaluate new approaches," said John Kim, senior vice president of global product at Expedia.com. "We want to find opportunities to allow the broader community to provide input on industry-wide data science challenges; it was it was exhilarating to see over 300 submissions by some of the best minds in the world. Some interesting techniques were presented which we will continue to consider as we evolve our understanding of this dynamic space."  

Expedia.com has spent the past few years overhauling its technology underpinnings to support this type of big data research and implementation. The company, which sees millions of daily visits from customers across the world, aims to present the best travel solutions to its global user base.

About Expedia.com
Expedia.com is the world's leading online travel site, helping millions of travelers per month easily plan and book travel. Expedia.com (http://www.expedia.com/, 1-800-EXPEDIA) aims to provide the latest technology and the widest selection of vacation packages, flights, hotels, rental cars, cruises and in-destination activities, attractions, and services. With the Expedia Best Price Guarantee, Expedia.com customers can get the best rates available online for all types of travel.

Expedia, Expedia.com and the Airplane logo are either registered trademarks or trademarks of Expedia, Inc. in the U.S. and/or other countries. Other logos or product and company names mentioned herein may be the property of their respective owners. © 2014 Expedia, Inc. All rights reserved. CST # 2029030-50

©2012 PR Newswire. All Rights Reserved.

Powered by WorldNow
All content © Copyright 2000 - 2014 WorldNow and KXVO. All Rights Reserved.
For more information on this site, please read our Privacy Policy and Terms of Service.