LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。
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Updated
Jun 4, 2026 - Markdown
LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。
Retrieve the Google search ranking of your website for specific keywords
Leaked Yandex search ranking factors transformed into JSON and translated into English.
Library for analyzing interleaved search A/B tests to determine preference between competing ranking functions
Reinforcement Learning for E-Commerce Search Ranking — from mathematics to code
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Explainable AI-powered candidate ranking system for the Redrob India Runs Data & AI Challenge.
This is a semantic search engine powered by SentenceTransformers with a retrieval and reranking system on Wikipedia corous.
Search Engine Optimization using Human Implicit Feedback
Lightweight .NET fuzzy string matching library with intelligent scoring for search-as-you-type, command palettes, and flexible string matching applications.
Django-based graduate school selection, retrieval, and recommendation platform(基于 Django 的考研择校推荐、信息检索与交互展示平台))
The Legal Search Engine facilitates the retrieval of Supreme Court of Pakistan judgments and orders. It involves data collection, vocabulary generation, inverted index construction, and ranking of legal documents using TFIDF and BM25. A user-friendly web interface allows querying and displays ranked results with precision and recall evaluations.
Built an end-to-end search ranking system that improves document relevance using LambdaMART on lexical and user-behavior features, outperforming a BM25-style baseline in offline NDCG@10 evaluation and packaged with an interactive Streamlit demo.
Comprehensive guide and toolkit for creating, validating, and deploying custom search ranking configurations (Goggles) in the Brave Search ecosystem, following Apex standards.
AI-powered candidate discovery and ranking system that processes 100K profiles using evidence-based scoring, hireability analysis, risk detection, hidden-gem discovery, and explainable AI ranking.
Information Retrieval course exercises (Moscow Aviation Institute 7th semester)
Production-grade machine learning system for rental property search and recommendations. Features NLP-powered search ranking, hybrid collaborative filtering, real-time API, and comprehensive deployment infrastructure. Built with clean architecture, extensive testing, and enterprise-ready monitoring.
Sandbox project to exploring how product-level attraction scoring fixes the cold-start problem in departure-based search indexes. Built with TypeScript, Nitro server routes, and dummy JSON data.
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