xuanyuan14/ARES
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search
This project helps information retrieval specialists improve how relevant search results are ranked. It takes a collection of documents and user queries, then outputs a model that can re-rank search results to be more accurate and helpful. This is designed for professionals who build or refine search engines and need to ensure users find the most pertinent information quickly.
No commits in the last 6 months.
Use this if you need to build or enhance a search system that provides highly accurate document rankings for user queries.
Not ideal if you are looking for a simple keyword-based search solution or a general-purpose natural language processing library.
Stars
23
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
May 24, 2023
Commits (30d)
0
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