If you want an invite hit up one of the people below!!
want an invite to Farecast.com? All Gone!
Thanks to moonrock I have
25 17 8 4 1.
Comment with your first name and email address please.
Farecast.com evolved from a University of Washington research project, led by computer science professor and internet search expert Oren Etzioni, into the online travel site you see today. We've spent several years developing state-of-the-art data-mining and predictive technologies with the objective of accurately predicting airfare pricing. Here is how our patent pending technology works:
Modeling and Prediction
We use data-mining algorithms to search for patterns, in the accumulated airfare data, which are associated with significant price changes. These patterns are represented and stored in models, and the models are then rigorously trained. Once created and trained, we use these models to predict the future. Then, new, current airfares can be scored by the model to answer the question, “Is the price going up or down in the future?”
Inside a computer program, simulated passengers buy real airplane tickets represented in the vast amount of data we collect every day. We build models for each day the simulated passengers are interested in purchasing tickets. Each simulated passenger receives a recommendation for the day and market they are shopping. Because our pricing data comes after the simulated shopping day, we can tell if we made the right or wrong recommendation. We tally up the results of the outcomes of recommendations made to thousands of simulated passengers. This data tells us how accurate we are. Although the simulations do not mimic real life exactly, they provide a close enough approximation for us to know the technology is useful.
We commit ourselves to using Open Source technologies: Linux/Unix/OS X, Apache, Tomcat, Java, JSP, Perl, MySQL, etc. Since we have so much data, we use a lot of storage. We also crunch a lot of numbers. As such, we use grid technology to cluster racks of dual-processor, 64 bit commodity hardware boxes to make our daily calculations more manageable.
(This is Seattle related due to the fact that it is currently under beta for Seattle and Boston only.)