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👤 Search Personalization

User Profiles, Query Adaptation, Relevance Tuning, Behavioral Modeling

Deleting X: Why SIGDOC Left the Platform
cacm.acm.org·1d
📚MARC Evolution
85 Things I've Learned in 1,000 Days of ChatGPT
thealgorithmicbridge.com·2d
🧠Personal Knowledge Base
Noom's Tech Evaluation: Top AI Mobile Test Automation Tools (August 2025)
mobileboost.io·1d·
Discuss: Hacker News
🔍Concolic Testing
Engineering Strategy and Planning(2022)
yusufaytas.com·19h·
Discuss: Hacker News
💾Persistence Strategies
Benchmarking bot detection systems against modern AI agents
research.roundtable.ai·1d·
Discuss: Hacker News
🎯Threat Hunting
Build and deploy small AI models from the browser
blog.minibase.ai·3d·
Discuss: Hacker News
🌀Brotli Internals
A change in vision | Building Stocksimpy (Devlog 4)
dev.to·1d·
Discuss: DEV
🎯Gradual Typing
The Electro-Industrial Stack Will Move the World
a16z.com·3h·
Discuss: Hacker News
🖥️Modern Terminals
Distance-informed Neural Processes
arxiv.org·1d
🧠Machine Learning
Learning Real-World Acrobatic Flight from Human Preferences
arxiv.org·1d
🔲Cellular Automata
LLM System Design and Model Selection
oreilly.com·2d·
Discuss: Hacker News
💻Local LLMs
Saccade crossing avoidance as a visual search strategy
arxiv.org·22h
🔲Cellular Automata
Subjective Behaviors and Preferences in LLM: Language of Browsing
arxiv.org·6d
🎙️Whisper
8 Tool Tech Stack to Build an Enterprise-Grade RAG System (Without the Headaches)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm
arxiv.org·22h
🧠Machine Learning
Addressing Weak Authentication like RFID, NFC in EVs and EVCs using AI-powered Adaptive Authentication
arxiv.org·22h
🛡️ARM TrustZone
Uncovering the Weak Spots: A Guide to AI Security Vulnerabilities
dev.to·11h·
Discuss: DEV
🔍Vector Forensics
Can VLMs Recall Factual Associations From Visual References?
arxiv.org·1d
📊Learned Metrics
HAEPO: History-Aggregated Exploratory Policy Optimization
arxiv.org·1d
🧠Machine Learning
Auditing Approximate Machine Unlearning for Differentially Private Models
arxiv.org·1d
🛡️Differential Privacy
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