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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📈Search Quality
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Top 5 best WordPress SEO tools in 2026
dev.to·9h·
Discuss: DEV
📊Feed Optimization
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·15h·
Discuss: r/compsci
📥Feed Aggregation
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Turning images into structured signals for modern search
visualquerypro.com·1h·
Discuss: Hacker News
🤖AI Curation
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Measuring True Campaign Uplift in Noisy E-Commerce Data: A Practical Heuristic Approach
hackernoon.com·1d
📊Feed Optimization
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Used-by: Context aware tech stack recommendations from crawled real world usage
news.ycombinator.com·12h·
Discuss: Hacker News
🎯Content Recommendation
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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·4h·
Discuss: DEV
📝Text Parsing
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Voice Search Optimization: The Next Big SEO Shift
future.forem.com·1d·
Discuss: DEV
📈Search Quality
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Document search using Claude and an inverted index.
annanay.dev·4d·
Discuss: Hacker News
🗂️Vector Databases
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Signal, Noise, and Burnout: A Human-Information Interaction Analysis of Voter Verification in a High-Volatility Environment
arxiv.org·2d
🧭Content Discovery
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What Developers Should Know About AI Overview APIs
dev.to·3d·
Discuss: DEV
📊Feed Optimization
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aashirpersonal/semantic-coverage: Automated detection of knowledge gaps and blind spots in RAG vector stores.
github.com·3d·
Discuss: Hacker News
🌀Brotli Internals
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Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies: This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
github.com·4d
🧭Content Discovery
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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I Built a Video Search Engine That Understands What You're Looking For
dev.to·1d·
Discuss: DEV
🎞️MKV Forensics
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What Is ChatGPT Doing?
vibediary.dev·2d·
Discuss: Hacker News
🧠Neural Codecs
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Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
arxiv.org·2d
🧠Learned Codecs
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Navigating the Labyrinth: Effective Database Indexing Strategies
dev.to·2d·
Discuss: DEV
📇Indexing Strategies
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Regulating Algorithmic Content Distribution and Moderation by Online Platforms
rstreet.org·3d·
Discuss: Hacker News
📰Content Curation
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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