#搜索#1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
#计算机科学#Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
#搜索#3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
#搜索#Query preprocessor for Java-based search engines (Querqy Core and Solr implementation)
#搜索#Framework for building Commerce Search Solutions around open source search technology like Elasticsearch
Testing tool to verify the search qualities of the Elasticsearch indices
#搜索#Tools to help search relevance engineers and business users tune search results for their OpenSearch applications.
Solr Relevance Ranking Analysis and Visualization Tool
Optimize and Enhance Your Search Quality
An open source tool to measure search relevance.
#计算机科学#Search Relevance Surveys and Deep Learning: Turning Noisy, Crowd-sourced Opinions Into An Accurate Relevance Judgement (T175048)
#搜索#First assessment of learning-to-rank: testing machine-learned ranking of search results on English Wikipedia
A quick hack, for now, to recollect expert based judgmenet for search
#自然语言处理#The 3rd place solution code for the Wikipedia - Image/Caption Matching Competition on Kaggle
Search relevancy algorithm for news articles using Sentence-BERT model and ANNOY library along with deployment on AWS using Docker.
#向量搜索引擎#Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques...
In this repo, I attempt to quantify the search relevance of different query settings using the Normalized Discounted Cumulative Gain (NDCG).
Measure relevance of search result for CrowdFlower, an ecomerce site. Model trained was SVC
#计算机科学#Exploring search relevance techniques.