kaggle-HomeDepot and kaggle-CrowdFlower
About kaggle-HomeDepot
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.
About kaggle-CrowdFlower
ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
This project helps e-commerce companies improve the accuracy of their product search results. It takes a list of products and customer search queries, then outputs a ranking of how relevant each product is to its query. This is designed for data scientists or machine learning engineers working on search relevance within online retail or similar platforms.
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