Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
arxiv.org·1d
🎯Content Recommendation
I Built the Perfect Workflow and attracted some friends in the process
graemefawcett.ca·6h·
Discuss: Hacker News
⚡Proof Automation
The Complete Guide to Building High-Quality Backlinks in 2025
dev.to·18h·
Discuss: DEV
🧭Content Discovery
YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.ai·1d
📊Feed Optimization
Product comparison: Detectify vs. Tenable
blog.detectify.com·21h
🎯Threat Hunting
Sales pitch about why you should learn statistics
minireference.com·11h
🧠Intelligence Compression
The Silent Scientist: When Software Research Fails to Reach Its Audience
cacm.acm.org·15h
🔬Academic Search
RecGen: a powerful tool to create recommendation systems
dev.to·14h·
Discuss: DEV
🔗Constraint Handling
Creating Real-Time Multimodal AI Pipelines: Scaling File Processing to 50M Daily Uploads
engineering.salesforce.com·5h
🌊Stream Processing
The Tech Startup’s Guide to First-Time Advertising (TL;DR: Go Niche!)
hackernoon.com·13h
🔍BitFunnel
Mind the Gap: Quantifying Vocabulary Mismatch in E-Commerce Site Search
searchhub.io·1d·
Discuss: Hacker News
📈Search Quality
timelinize/timelinize
github.com·1d
⏱️Interval Archives
Customizing text content moderation with Amazon Nova
aws.amazon.com·1d
📊Feed Optimization
There will soon be AI agents working on our behalf
blog.cip.org·5h·
Discuss: Hacker News
🔲Cellular Automata
Show HN: Built CinePrompt – Search movies by describing your mood, not keywords
cineprompt.vercel.app·1d·
Discuss: Hacker News
🤖AI Curation
The Solo Developer's Product Stack: 4 Things I Wish I'd Set Up From Day One
dev.to·10h·
Discuss: DEV
📊Feed Optimization
How the Logic of Television Conquered American Culture
derekthompson.org·19h·
Discuss: Hacker News
🧲Magnetic Philosophy
Who watches the watchers? LLM on LLM evaluations
stackoverflow.blog·1d
📏Code Metrics
AAS: The Metric for Monitoring DB Performance
kylehailey.com·2h·
Discuss: Hacker News
🗄️Database Internals
"i like making things—" no. you like things.
kivikakk.ee·1d
📏Code Metrics