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📊 Search Ranking

Relevance Scoring, Learning to Rank, Query Understanding, Result Quality

Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.org·21h
🔍Information Retrieval
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🧠Learned Indexing
Everything You Need to Know About Google’s AI Mode (and How to Adjust Your Content Strategy)
hackernoon.com·6h
📊Feed Optimization
New Benchmark suite for analytical DBs using real-world SQL queries
github.com·8h·
Discuss: Hacker News
📝Database WAL
Topical Authority: A Guide to SEO in the Age of AI (GEO)
tryzenith.ai·1d·
Discuss: Hacker News
📊Feed Optimization
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·8h
🧮Kolmogorov Bounds
Keyword Rank Checker
dev.to·1d·
Discuss: DEV
🔍BitFunnel
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·21h
📊Learned Metrics
Using DuckDB for Embeddings and Vector Search – Random Thoughts
blog.brunk.io·1d
🗂️Vector Databases
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·1d·
Discuss: Lobsters, Hacker News
🔍Information Retrieval
When Google’s slop meets webslop, search stops
doctorow.medium.com·5h
🔍BitFunnel
Overview of the TREC 2023 deep learning track
arxiv.org·21h
🔍Information Retrieval
Te Ahorr\'e Un Click: A Revised Definition of Clickbait and Detection in Spanish News
arxiv.org·21h
⚖️Feed Ranking
10 Quick SEO Tips to Instantly Boost Your Google Rankings
dev.to·1d·
Discuss: DEV
📈Search Quality
Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store
aws.amazon.com·3h
🌐Federated Search
AI SEO Agency: Where Artificial Intelligence Meets Search Expertise
dev.to·1d·
Discuss: DEV
👤Search Personalization
A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages
arxiv.org·1d
⚖️Feed Ranking
Porting a Cross-Disciplinary Text Mining Course Online Using Innovative Engagement Techniques
hackernoon.com·10h
🤖Grammar Induction
What can we expect of LLMs as Software Engineers?
chelseatroy.com·1d
📝Text Parsing
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·1d·
Discuss: Hacker News
🔍Type Inference
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