How Hopper hopes to change the online travel industry
November 01, 2011 | Online Travel
Hopper, a startup founded by a team of former Expedia employees is developing a website for consumer travel discovery, and harnessing a new generation of big data analysis tools to “fix” the data in order to “fix” the customer experience.
Hopper’s travel-oriented search engine lets users search using just keywords to discover destinations and products.
Hopper is using cluster computing techniques to build what it says is the world’s largest database of travel information. Using machine learning, NoSQL databases and big data processing, Hopper is transforming raw web pages into structured and organized information, so users can conduct better, more complete searches faster than they could on traditional travel sites.
The folks at Hopper believe that the current technology used by travel companies doesn’t take into consideration the fact that planning and shopping for trips aren’t sequential activities, but rather they’re part of a consumer’s ongoing thought process discovery.
To make things better, Hopper is focusing on using big data to determine the relevant relationships among web content, travel products and everyday life so consumers can search by keywords—any keywords.
Get the full story at SmartData Collective
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