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The Home Depot 2016 – Product Search Relevance challenge



Vadis is proud to announce its high ranking at the Home Depot Product Search Relevance challenge 2016.

Shoppers rely on Home Depot’s product authority to find and buy the latest products and to get timely solutions to their home improvement needs. From installing a new ceiling fan to remodelling an entire kitchen, in just a click or tap on the screen, customers expect correct results to their queries – quickly. Speed, accuracy and delivering a frictionless customer experience is essential.

 

In this competition, Home Depot asked Kagglers to help them improve their customers' shopping experience by developing a model that can accurately predict the relevance of search results. Search relevancy is an implicit measure Home Depot uses to gauge how quickly they can get customers to the right products. Currently, human raters evaluate the impact of potential changes to their search algorithms, which is a slow and subjective process. By removing or minimizing human input in search relevance evaluation, Home Depot hopes to increase the number of iterations their team can perform on the current search algorithms.

Vadis finished at the 11th position out of 2125 teams coming from all over the globe. It is indeed not the first time Vadis ends in the top ranks of Kaggle competitions:

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