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๐Ÿ“Š Feed Optimization

Content Scoring, User Modeling, Engagement Prediction, Algorithm Tuning

MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.toยท12hยท
Discuss: DEV
๐ŸงญContent Discovery
Harnessing AI, Behavioral Data Science for Smarter Consumer Platforms
cacm.acm.orgยท2d
๐ŸŽ›๏ธFeed Filtering
Topical Authority: A Guide to SEO in the Age of AI (GEO)
tryzenith.aiยท2dยท
Discuss: Hacker News
๐Ÿ“ฐContent Curation
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.comยท13h
๐Ÿ“ŠVector Quantization
Teaching Your AI to Read: A Guide to Scraping, RAG, and Smart Data Insights
hackernoon.comยท12h
๐ŸŒ€Brotli Internals
Categorical Features: The Backbone of Search & Recs Engineering
shaped.aiยท2d
๐Ÿง Learned Indexing
SENSOR: An ML-Enhanced Online Annotation Tool to Uncover Privacy Concerns from User Reviews in Social-Media Applications
arxiv.orgยท23h
๐ŸŽ›๏ธFeed Filtering
Unlock Geminiโ€™s reasoning: A step-by-step guide to logprobs on Vertex AI
developers.googleblog.comยท6h
โšกProof Automation
2025-07-16: Understanding Hallucination in Large Language Models: Challenges and Opportunities
ws-dl.blogspot.comยท3hยท
Discuss: ws-dl.blogspot.com
โœจEffect Handlers
Google’s Discover page now summarizes news with AI
theverge.comยท16h
โš–๏ธFeed Ranking
Toxic content drives user engagement on social media
promarket.orgยท4hยท
Discuss: Hacker News
โš–๏ธFeed Ranking
From Equal Weights to Smart Weights: OTPOโ€™s Approach to Better LLM Alignment
towardsdatascience.comยท1d
๐ŸงฎKolmogorov Bounds
What can we expect of LLMs as Software Engineers?
chelseatroy.comยท2d
๐Ÿ“Text Parsing
Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.orgยท1d
๐Ÿ”Information Retrieval
My favorite use-case for AI is writing logs
vickiboykis.comยท1d
๐ŸŒณIncremental Parsing
Good binding data is all you need
leashbio.substack.comยท4hยท
Discuss: Substack
๐Ÿ—‚๏ธVector Databases
Announcing Amazon Nova customization in Amazon SageMaker AI
aws.amazon.comยท12h
๐Ÿ“กRSS Automation
The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs
kdnuggets.comยท13h
๐Ÿง Machine Learning
AI Isn't Responsible for Slop. We Are Doing It to Ourselves
techpolicy.pressยท1dยท
Discuss: Hacker News
๐ŸŽ›๏ธFeed Filtering
Fine-tuning Large Language Model for Automated Algorithm Design
arxiv.orgยท23h
๐Ÿ”จCompilers
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