ShopSmart AI - Revolutionary E-commerce Search with Algolia MCP Server
dev.to·17h·
Discuss: DEV
🧠Query Planners
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·2d
🧠Learned Indexing
Imbalanced Regression Pipeline Recommendation
arxiv.org·4h
⚖️Feed Ranking
Harnessing AI, Behavioral Data Science for Smarter Consumer Platforms
cacm.acm.org·2d
📊Feed Optimization
Show HN: I built an SDK for building an AI RAG app with Supabase and pgvector
github.com·12h·
Discuss: Hacker News
🌀Brotli Internals
Everything You Need to Know About Google’s AI Mode (and How to Adjust Your Content Strategy)
hackernoon.com·1d
📊Feed Optimization
Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
arxiv.org·4h
⚖️Feed Ranking
Toxic content drives user engagement on social media
promarket.org·9h·
Discuss: Hacker News
⚖️Feed Ranking
This “smart coach” helps LLMs switch between text and code
news.mit.edu·4h
💻Local LLMs
Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes
medium.com·13h
👁️Observatory Systems
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·18h
📊Vector Quantization
Introduction: AI Terminology
dev.to·18h·
Discuss: DEV
🤖Grammar Induction
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·17h·
Discuss: DEV
🧭Content Discovery
Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.org·2d
🔍Information Retrieval
Topical Authority: A Guide to SEO in the Age of AI (GEO)
tryzenith.ai·2d·
Discuss: Hacker News
📊Feed Optimization
Accenture scales video analysis with Amazon Nova and Amazon Bedrock Agents
aws.amazon.com·10h
🎬WebCodecs
Google brings Gemini 2.5 Pro and Deep Search to AI Mode and adds AI phone calling to search
the-decoder.com·14h
🌀Brotli Internals
Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
arxiv.org·2d
🔢Binary Embeddings
SmartDocs AI - Intelligent Documentation Search with Algolia MCP Server
dev.to·17h·
Discuss: DEV
🌀Brotli Internals
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·4h
🧮Kolmogorov Complexity