Indexing, Hashing
dev.to·1d·
Discuss: DEV
🚀Query Optimization
Mind the Gap: Quantifying Vocabulary Mismatch in E-Commerce Site Search
searchhub.io·1d·
Discuss: Hacker News
📈Search Quality
An enough week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
🧮Z3 Solver
Homomorphism Problems in Graph Databases and Automatic Structures
arxiv.org·1d
🔗Graph Isomorphism
Beyond Indexes: How Open Table Formats Optimize Query Performance
jack-vanlightly.com·2d·
Discuss: Lobsters, Hacker News, r/programming
🚀Query Optimization
Creating Real-Time Multimodal AI Pipelines: Scaling File Processing to 50M Daily Uploads
engineering.salesforce.com·5h
🌊Stream Processing
Efficient and accurate search in petabase-scale sequence repositories
nature.com·2d·
Discuss: Hacker News
🔄Burrows-Wheeler
YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.ai·1d
📊Feed Optimization
Automated Anomaly Detection in Time-Series Statistical Spreadsheets via Hyperdimensional Vector Similarity
dev.to·8h·
Discuss: DEV
🔤Character Classification
Is SEO Dead in 2025?
easyseo.online·14h·
Discuss: Hacker News
📰Content Curation
TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing
arxiv.org·1d
💾Storage Replication
The Complete Guide to Building High-Quality Backlinks in 2025
dev.to·18h·
Discuss: DEV
🧭Content Discovery
Evaluating Gemini 2.5 Deep Think's math capabilities
epoch.ai·16h·
Discuss: Hacker News
🎯Performance Proofs
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
arxiv.org·3d
📏Range Queries
GoMem is a high-performance memory allocator library for Go
github.com·1d
🧠Memory Allocators
An enough week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
📈Linear programming
IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
arxiv.org·1d
🧠Learned Indexing
No Bullshit Guide to Statistics prerelease
minireference.com·11h·
Discuss: Hacker News
🧮Kolmogorov Bounds
From Documents to Dialogue: A step-by-step RAG Journey
dev.to·15h·
Discuss: DEV
📊Multi-vector RAG
TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance
arxiv.org·1d
🔍Information Retrieval