🧭 Content Discovery - emschwartz · Scour

🎲Recommendation Systems medium.com

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Building a Hybrid Movie Recommendation System with MovieLens and SVD

🎲Recommendation Systems Towards AI·

Part 13 — Design the Recommender System

🎲Recommendation Systems arXiv·

Trajectory-Based Recommender Systems as Control Systems

🎛️Feed Filtering medium.com

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Building a Movie Recommendation System (Ke-Netflix)

🎲Recommendation Systems grahamjroy.medium.com·

Neural Collaborative Filtering — When the Dot Product Isn’t Enough

🎛️Feed Filtering Product-Led Alliance·

How product managers improve relevance in AI-powered recommendation systems

🎲Recommendation Systems semiconinsights.blogspot.com·

How Do Deep Latent Variable Models Enhance Collaborative Filtering With Side Information?

🏗️Search Infrastructure Elasticsearch Labs·

jina-clip-v2 brings text-to-image search across 89 languages to Elasticsearch, no GPU needed

🎛️Feed Filtering dhruvalexander.medium.com·

How companies are using LLMs to improve recommendation engines

🎛️Feed Filtering medium.com

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How I created HallyuAI — Kdrama recomedation system(so can you ^-^)

🎲Recommendation Systems arXiv·

MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS

👨‍💻AI Coding maiweb.up.railway.app·

a personalized feed of the public web

Covered by GitHub

Discussed on Hacker News

🏆Ranking arXiv·

Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering

📰Content Curation grahamjroy.medium.com·

Two-Tower Retrieval — How Web-Scale Recommenders Actually Serve

⭐Content Scoring arXiv·

Towards Fast Domain Adaptation and Fine-Grained User Simulation for Evaluating Conversational Recommender Systems

📊Embeddings arXiv·

Do LLM Embedding Spaces Recover Expert Structure?

📰Content Curation grahamjroy.medium.com·

Sequential Recommenders — Predicting What You’ll Want Next

📏Vector Similarity arXiv·

TriMotion: Modality-Agnostic Camera Control for Video Generation

📏Vector Similarity arXiv·

UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation

📋Text Quality arXiv·

LLM-as-a-Judge for Reliable and Explainable Offline Evaluation in Top-K Recommendation

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