o19s/RankyMcRankFace
Hardened Fork of Ranklib learning to rank library
This tool helps search quality engineers and data scientists improve the relevance of search results for a given query. It takes in historical query logs and user interaction data (like clicks) and outputs an optimized ranking model. The goal is to make sure the most relevant items appear at the top of a search list.
No commits in the last 6 months.
Use this if you need to build and integrate sophisticated ranking models to fine-tune the order of search results based on actual user behavior and feature impact.
Not ideal if you're looking for a simple keyword-based search engine or if your application doesn't involve complex relevance ranking.
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45
Forks
20
Language
Java
License
—
Category
Last pushed
Sep 30, 2022
Commits (30d)
0
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