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👤 Search Personalization

User Profiles, Query Adaptation, Relevance Tuning, Behavioral Modeling

Automating Persona Enriched Prompting
maxirwin.com·2d·
Discuss: Hacker News
🕵️Metadata Mining
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·1d
🧠Machine Learning
Open-Source AI Stacks for E-Commerce (2025 Guide)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Enterprise Large Language Model Evaluation Benchmark
arxiv.org·6h
⚙️Compression Benchmarking
Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
arxiv.org·2d
🔍Information Retrieval
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·1d
💻Local LLMs
Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
arxiv.org·2d
🌀Hyperbolic Geometry
Learning to assess subjective impressions from speech
arxiv.org·1d
👁️Perceptual Coding
Machine Learning Fundamentals: active learning project
dev.to·19h·
Discuss: DEV
🧠Machine Learning
From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents
arxiv.org·6h
📃Manuscript Tokenization
Open-Source AI Stacks for E-Commerce (2025 Guide)
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
arxiv.org·1d
💻Local LLMs
📏 Feature Scaling in Machine Learning: Why It Matters and How to Do It
dev.to·17h·
Discuss: DEV
🧪Data science
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
arxiv.org·6h
🧠Machine Learning
How Algorithms Power Everyday Technology
dev.to·2d·
Discuss: DEV
🎛️Feed Filtering
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·1d
🧮Kolmogorov Complexity
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·1d
🧠Intelligence Compression
Machine Learning Fundamentals: active learning with python
dev.to·17h·
Discuss: DEV
🧠Machine Learning
Define-ML: An Approach to Ideate Machine Learning-Enabled Systems
arxiv.org·6h
🧠Machine Learning
Unlocking Hyper-Security: The Power of AI in Multi-Modal Biometric Systems
dev.to·1d·
Discuss: DEV
🎵Spectral Hashing
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