microsoft/SimXNS
SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
This project offers advanced methods to improve the accuracy and relevance of search results for large text datasets. It takes a collection of documents and user queries as input, and outputs more precise and contextually relevant search rankings. It's designed for search engine developers, data scientists, or researchers building robust information retrieval systems.
116 stars. No commits in the last 6 months.
Use this if you need to significantly enhance the performance of a text-based search engine or information retrieval system, especially for handling complex queries or large document collections.
Not ideal if you are looking for a plug-and-play end-user search application or a tool for general data indexing without a focus on deep semantic retrieval.
Stars
116
Forks
12
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/microsoft/SimXNS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
williamscott701/Information-Retrieval
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
park1997/Industrial_systems_Engineering_PJ_Cloud
나홀로 소송을 준비하는 일반인을 위한 법률 정보 시스템 구축
danakianfar/information_retrieval_1
Information Retrieval Course 2017 - MSc Artificial Intelligence @ UvA
aifenaike/Semantic_Search_and_Retrieval
A Query-Document pair ranking system using GloVe embeddings and RankCosine.
ronaldseoh/cs276
Me working on "CS276: Information Retrieval and Web Search"