INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems
arxiv.org·22h
🧭Content Discovery
The Declining Reach of LinkedIn Company Pages in 2025
meetassembly.com·12h·
Discuss: Hacker News
📊Feed Optimization
Building InboxHiive: Event-Driven Podcast Newsletter Processing
engineering.akhilcjacob.com·3h·
Discuss: Hacker News
🌊Streaming Systems
AI in Social Media: Transform Engagement Now!
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Interleaving for Retrieval Augmented Generation
maxirwin.com·9h·
Discuss: Hacker News, Hacker News, r/programming
🔍Information Retrieval
How To Tame Alert Fatigue With Time Series Databases
thenewstack.io·10h
📈Time Series
Social media won't get any better without algorithms
heise.de·13h
🎛️Feed Filtering
People are using ChatGPT to summarize fiction – and it’s everything wrong with AI
techradar.com·11h
🏛Digital humanities
https://blog.wilsonl.in/search-engine/?s=09
blog.wilsonl.in·1d
🔍BitFunnel
Used small-scale Al to rank "good" vs "garbage" directories (surprising results)
reddit.com·6h·
Discuss: r/artificial
🔍BitFunnel
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-Scale Pretraining
blog.datologyai.com·8h·
Discuss: Hacker News
🌀Brotli Dictionary
Thinking Quick Hit
feed.tedium.co·12h
📰RSS Reading Practices
CLMIR: A Textual Dataset for Rumor Identification and Marking
arxiv.org·22h
📰Content Curation
When Did AI Take Over Hacker News?
zachperk.com·1d·
Discuss: Hacker News
🎯Content Recommendation
Predicting Guest Churn via Dynamic Bayesian Network Calibration with Enhanced HyperScore
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Building InboxHiiv: Event-Driven Podcast Processing with Firebase Functions and Gemini AI
dev.to·3h·
Discuss: DEV
🌊Streaming Systems
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
arxiv.org·22h
🎛️Feed Filtering
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation
arxiv.org·22h
💻Local LLMs
Cache Me If You Can (2017)
queue.acm.org·5h·
Discuss: Hacker News
🌐IPFS
How I stay immersed with Data science every day?🔎
dev.to·9h·
Discuss: DEV
🧪Data science