Product similarity ranking for e-commerce

Overview

With the ever-increasing categories of consumable products in the market, many e-commerce selling platforms are finding it difficult to recognize whether a user listed product is already available in its catalogue (more precisely, its knowledge base). We have helped one of our customers that had this similar problem by building a product similarity ranking solution. The solution internally was comprised of two distinct pipelines, one calculated an image similarity score by vectorizing the product images and the other calculated a text similarity by using product description and applying LSH (Locality Sensitive Hashing) algorithm on it. Final ranking is calculated by summing up both the similarity scores respectively. By doing this we were able to identify potential matching products for a user listing and suggest them with more fine-grained details of that product from knowledge base. This has helped our customer in enriching their user listing with more details and in-turn increase its visibility across the selling platform.

Challenge

With the ever-increasing categories of consumable products in the market, many e-commerce selling platforms are finding it difficult to recognize whether a user-listed product is already available in its catalog (more precisely, its knowledge base).

Solution

We have helped one of our customers that had a similar problem by building a product similarity ranking solution. The solution internally was comprised of two distinct pipelines, one calculated an image similarity score by vectorizing the product images, and the other calculated a text similarity by using product description and applying LSH (Locality Sensitive Hashing) algorithm to it. The final ranking is calculated by summing up both the similarity scores respectively.

Outcome

By doing this we were able to identify potential matching products for a user listing and suggest them with more fine-grained details of that product from the knowledge base. This has helped our customers in enriching their user listing with more details and in turn increase its visibility across the selling platform.