ChenglongChen/kaggle-HomeDepot
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
This project helps e-commerce merchandisers and product managers improve the accuracy of their internal site search. By feeding in raw product data (descriptions, attributes) and historical search queries with their corresponding relevance ratings, it generates a refined model that more accurately ranks search results for customers. The end user is typically focused on optimizing product discoverability and sales through better search.
466 stars. No commits in the last 6 months.
Use this if you manage an e-commerce platform and need to significantly improve how product search results are ranked for customer queries.
Not ideal if you're looking for a plug-and-play solution without the need for extensive data preparation and technical expertise.
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466
Forks
204
Language
Python
License
MIT
Category
Last pushed
Dec 31, 2018
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