Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 12 SI
Page No. 9394 - 9399

Data Mining Model to Classify Product Search Relevance

Authors : Kahkashan Firdous Shaikh and Manoj B. Chandak

Abstract: Using an efficient search algorithm is valuable for any business providing a variety of products. Customers expect the search results to be accurate and fast. Home Depot an organization has hosted the competition on Kaggle website with an objective to automate evaluation of existing and new search algorithms. Currently, Home Depot has a team of human raters evaluate any changes in the search algorithm. The goal of this project is to accurately identify if a search phrase is relevant given a product title and description.

How to cite this article:

Kahkashan Firdous Shaikh and Manoj B. Chandak, 2017. Data Mining Model to Classify Product Search Relevance. Journal of Engineering and Applied Sciences, 12: 9394-9399.

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