We examine the effectiveness of a statistical technique known as survival analysis to optimize the cache time-to-live for hotel rates in a hotel rate cache. We describe how we collect and prepare nearly a billion records per day utilizing MongoDB and Hadoop. Finally, we show how this analysis is improving the operation of our hotel rate cache.
United States United States, Santa Clara
28th February to 1st March 2012