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🎯 Recommendation Metrics

Diversity Scoring, Serendipity Measurement, Engagement Quality, Filter Bubble Detection

The Data Delusion: Why Brands Trust Dashboards More Than People - And Why That’s a Mistake
hackernoon.comΒ·11h
πŸ“ŠFeed Optimization
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.orgΒ·14h
πŸŽ›οΈFeed Filtering
Oblique Strategies for Vibe Coding
useyourexperience.comΒ·1dΒ·
Discuss: Hacker News
πŸ‡ΈπŸ‡ͺNordic Algorithms
Rethinking Scientific Rankings with Breakthrough and Disruption Metrics: A Complex Network-Based Approach
arxiv.orgΒ·1d
πŸ“ŠCitation Graphs
AI Rec Systems: Smarter Recommendations
dev.toΒ·5dΒ·
Discuss: DEV
πŸŽ›οΈFeed Filtering
A.I. Is Homogenizing Our Thoughts
newyorker.comΒ·3h
πŸ›Digital humanities
Filter smarter: A better way to investigate fraud with Search
fingerprint.comΒ·20h
πŸ”BitFunnel
What LLMs Know About Their Users
schneier.comΒ·7hΒ·
Discuss: Hacker News
πŸ’»Local LLMs
A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
arxiv.orgΒ·1d
βš–οΈFeed Ranking
Cambridge Cybercrime Conference 2025 – Liveblog
lightbluetouchpaper.orgΒ·3h
🎯Threat Hunting
AI, peer review and the human activity of science
nature.comΒ·7h
πŸ”¬Academic Search
A Briefing on Logistic Regression
blog.engora.comΒ·6hΒ·
Discuss: Hacker News
🧠Machine Learning
A Group of Students Are Revolutionizing the Way You Discover What to Watch, Read, and Listen
hackernoon.comΒ·1d
πŸ”BitFunnel
10 FREE AI Tools That’ll Save You 10+ Hours a Week
kdnuggets.comΒ·6h
πŸŽ™οΈWhisper
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.orgΒ·1d
πŸ“ŠFeed Optimization
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.orgΒ·1d
πŸ“ŠFeed Optimization
What's Predictive in an AI Persona?
askrally.comΒ·22hΒ·
Discuss: Hacker News
πŸ‘€Search Personalization
Show HN: Flokkk – Discover Useful links through community curation
news.ycombinator.comΒ·6hΒ·
Discuss: Hacker News
πŸ”BitFunnel
Closing the Feedback Loop: Building AI That Learns from Its Users
hackernoon.comΒ·1d
πŸ“ŠFeed Optimization
Simple API monitoring, analytics and request logging for Chi, Echo, Fiber, and Gin
reddit.comΒ·1dΒ·
Discuss: r/golang
πŸŒ€Brotli Internals
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