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🎛️ Feed Filtering

User Preference Learning, Content Classification, Stream Processing, Personalization

Supervised Learning: A Focus on Classification
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Engineering stories behind the Medium Daily Digest Algorithm: Part 1
medium.engineering·3h
📰RSS Reading Practices
Visual AI flow manager for Genkit – Looking for early testers
flowshapr.ai·53m·
Discuss: Hacker News
⚡Proof Automation
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
arxiv.org·11h
⚖️Feed Ranking
Learning ON Large Datasets Using Bit-String Trees
arxiv.org·11h
🗂️Vector Databases
Paradigms of Intelligence Team
github.com·1h·
Discuss: Hacker News
🔲Cellular Automata
Google’s URL Context Grounding: Another Nail in RAG’s Coffin?
towardsdatascience.com·2h
🌀Brotli Internals
Logistic vs SVM vs Random Forest: Which One Wins for Small Datasets?
machinelearningmastery.com·1d
🧠Machine Learning
Show HN: InfoCaptor AI – Summarize YouTube Videos into Knowledge Graph
my.infocaptor.com·1d·
Discuss: Hacker News
🤖AI Curation
A.I. Is Coming for Culture
newyorker.com·1d
🎯Content Recommendation
Using Real Survey Data to Create Authentic AI Personas for Extended Research
askrally.com·2h·
Discuss: Hacker News
🏛Digital humanities
[D] An honest attempt to implement "Attention is all you need" paper
reddit.com·10h·
Discuss: r/MachineLearning
🎙️Whisper
How to make money on crypto with AI
ascn.ai·9h·
Discuss: Hacker News
🔍BitFunnel
CausalSent: Interpretable Sentiment Classification with RieszNet
arxiv.org·11h
⚖️Feed Ranking
Naming Wombie
sahar.io·22h·
Discuss: Hacker News
🔃Feed Algorithms
k-NN Classification and Model Evaluation
dev.to·7h·
Discuss: DEV
🧠Machine Learning
Understanding Convolutions: The Sliding Window of Insight
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Building TheReader.AI: Why I Used Generative AI to Fix the Broken News Experience
future.forem.com·1d·
Discuss: DEV
🎯Content Recommendation
Adaptive Resonance Field Optimization for Sentiment-Driven Autonomous Systems
dev.to·2d·
Discuss: DEV
🌊Stream Processing
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·11h
⧗Information Bottleneck
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