Trailer Marketplace Analytics

EggieX Analytics (EXA) is a data mining company that uses machine learning algorithms and business intelligence software to analyze the local and national enclosed trailer marketplace.

Our mission is to create marketplace disruption through guerrilla marketing and data mining.

The algorithms which power Google Searches is a tool that finds web search terms whose popularity over time best matches a user-provided time series. Correlate was developed to generalize the query-based modeling techniques pioneered by Google Flu Trends and make them available to end-users. Correlate searches across millions of candidate query time series to find the best matches, returning results in less than 200 milliseconds. Its feature set and requirements present unique challenges for Approximate Nearest Neighbor (ANN) search techniques.

EXA uses the Google Machine learning Algorithm called Asymmetric Hashing (AH), the technique used by Correlate, and show how it can be adapted to fit the specific needs of the product. We then develop experiments to test the throughput and recall of Asymmetric Hashing as compared to a brute-force search.

For “full” search vectors, we achieve a 10x speedup over brute force search while maintaining 97% recall. For search vectors that contain holdout periods, we achieve a 4x speedup over brute force search, also with 97% recall.