Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·10h
🎛️Feed Filtering
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔍Information Retrieval
What's Predictive in an AI Persona?
askrally.com·18h·
Discuss: Hacker News
🧠Intelligence Compression
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·35m
📊Graph Databases
What LLMs Know About Their Users
schneier.com·3h
💻Local LLMs
AI-Powered App Personalization
dev.to·5d·
Discuss: DEV
🎛️Feed Filtering
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·1d
📊Feed Optimization
PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching
arxiv.org·1d
🎛️Feed Filtering
The Data Delusion: Why Brands Trust Dashboards More Than People - And Why That’s a Mistake
hackernoon.com·7h
🎯Recommendation Metrics
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·1d
📊Feed Optimization
A Briefing on Logistic Regression
blog.engora.com·2h·
Discuss: Hacker News
🧠Machine Learning
ML in the Home
blog.raymond.burkholder.net·1d
📈Time Series
Predicting E-commerce Purchase Behavior using a DQN-Inspired Deep Learning Model for enhanced adaptability
arxiv.org·1d
🧠Machine Learning
A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
arxiv.org·1d
⚖️Feed Ranking
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·19h
🤖Grammar Induction
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·13h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Learning golf swing signatures from a single wrist-worn inertial sensor
arxiv.org·1d
📊Learned Metrics
The more LLMs think, the worse they translate
nuenki.app·2h·
Discuss: Hacker News
⚙️Compression Benchmarking
Co-persona: Leveraging LLMs and Expert Collaboration to Understand User Personas through Social Media Data Analysis
arxiv.org·1d
🏛Digital humanities