---
title: Ecommerce Query Volume Classifier
emoji: 🔍
colorFrom: green
colorTo: green
sdk: docker
app_port: 8501
tags:
- streamlit
pinned: false
license: other
license_name: link-attribution
license_link: https://dejan.ai/blog/query-length-vs-volume/
short_description: Predicts search volumes for ecommerce product queries.
models:
- dejanseo/ecommerce-query-volume-classifier
datasets:
- amazon/AmazonQAC
---


# eCommerce Query Volume Classifier

A fine-tuned [DeBERTa v3 base](https://huggingface.co/microsoft/deberta-v3-base) model that predicts the search volume class of ecommerce product queries. Trained on 39.6 million unique queries from the [Amazon Shopping Queries](https://huggingface.co/datasets/amazon/AmazonQAC) dataset spanning 395.5 million search sessions.

**Blog post:** [Is Query Length a Reliable Predictor of Search Volume?](https://dejan.ai/blog/query-length-vs-volume/)

## Author

**Dan Petrovic** — [DEJAN AI](https://dejan.ai/)