Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
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Updated
Nov 4, 2024 - Java
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
Code and Examples for Relevant Search
IResearch is a cross-platform, high-performance search analytics library written entirely in C++ with the focus on a pluggability of different ranking/similarity models
Elasticsearch/Solr Sandbox for exploring explain information and tweaking
Search Management UI
Search a single field with different query time analyzers in Solr
A tool which can find your any document using semantic search
Extra components for working with Neo4j Full Text Search
For Scientific Data using 'Wolfram Alpha' computational engine
Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey (INISTA 2024)
A quick hack, for now, to recollect expert based judgmenet for search
a parallel program to search a given corpus and return the most relevant search results. You are given a corpus called Aristo Mini Corpus
An example podcasts search app
Search Engine Helper: A parallel program to search a given corpus and return the most relevant search results. Given a corpus called Aristo Mini Corpus.
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