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Scoured 26634 posts in 18.7 ms
Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts  🧮Vector Embeddings
arxiv.org·5d
support for multi-url feed discovery · martinrotter/rssguard@c744488  📰RSS Reading Practices
github.com·7h
Social Media Scraper API — Unified Data from 21+ Platforms  🔃Feed Algorithms
socialcrawl.dev
·5d·Hacker News
A Private Recommendation System I Can Control  🎛️Feed Filtering
frankk.site·6d·Hacker News
Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction  📊Count-Min Sketch
arxiv.org·2d
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation  🎛️Feed Filtering
arxiv.org·1d
Sohamp2809/viral-ink: Self-improving AI agent that writes LinkedIn posts in YOUR voice, scores virality, and gets smarter from your results.  📡RSS Automation
github.com·6d·DEV, Hacker News
HORIZON: A Benchmark for In-the-wild User Behaviour Modeling  👤Search Personalization
arxiv.org·4d
Break the Optimization Barrier of LLM-Enhanced Recommenders: A Theoretical Analysis and Practical Framework  🎛️Feed Filtering
arxiv.org·2d
From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents  👤Search Personalization
arxiv.org·2d
Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context  🧮Kolmogorov Bounds
arxiv.org·2d
Depression Risk Assessment in Social Media via Large Language Models  ⚡ZStandard
arxiv.org·2d
Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation  🎯Content Recommendation
arxiv.org·1d
Collaborative Filtering Through Weighted Similarities of User and Item Embeddings  🧮Vector Embeddings
arxiv.org·5d
RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems  🔍Information Retrieval
arxiv.org·4d
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation  🎛️Feed Filtering
arxiv.org·5d
LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction  📊Feed Optimization
arxiv.org·3d
SCURank: Ranking Multiple Candidate Summaries with Summary Content Units for Enhanced Summarization  📊Search Ranking
arxiv.org·3d
RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence  🔍Information Retrieval
arxiv.org·4d
From Language to Action: Enhancing LLM Task Efficiency with Task-Aware MCP Server Recommendation  🎛️Feed Filtering
arxiv.org·4d

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