product-relevance-learning-to-rank parsakhavarinejad · PARTIAL

This project implements a comprehensive Learning to Rank system for e-commerce product relevance scoring. The objective is to build and evaluate machine learning models that can accurately predict and rank product relevance based on user search queries and product characteristics.

github.com/parsakhavarinejad/product-relevance-learning-to-rank · ★ 1 · Forks 0 · Size 781 KB

SUMMARY

Technologies 24

Scored 2

Observed 2

Practices 6

Evidence 25

Skips 22

COVERAGE

Analyzed 4 files · 2 commits · 0 API calls

TECHNOLOGIES & DEPTH

Markdown LANGUAGE Depth 70

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pip BUILD_TOOL Depth 80

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PRACTICES

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ACTIVITY & OWNERSHIP

First commit 2025-08-22

Last commit 2025-08-22

Active months 1

Commits 2

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