📈 Search Quality - emschwartz

The UK CMA orders Google to provide greater transparency on how its search rankings work and to let users transfer their search data to authorized third parties...

🚀Web Performance Search Engine Land·

Google says LLMS.txt files won’t harm or help your search rankings

Covers Google's Guide to Optimizing for Generative AI Features on Google Search

🔗Interoperability theregister·

Brit competition cops order Google to make search rankings less mysterious

Covered by ResearchBuzz

🎯Vector Search arxiv.org·

When Global Gating Is Enough: Admission-Time Hubness Control in Anisotropic Vector Retrieval Systems

📊Search Ranking arxiv.org·

ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments

📊Search Ranking arxiv.org·

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery

📊Model Serving Economics arxiv.org·

Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees

🎯Retrieval Systems arxiv.org·

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval

🎯Vector Search arxiv.org·

Query-aware Routing for Filtered Approximate Nearest Neighbors Search

📊Search Ranking arxiv.org·

Private Information Retrieval for Large-Scale DNA-Based Data Storage

📊Search Ranking arxiv.org·

Understanding the Behaviors of Environment-aware Information Retrieval

🎯Colbert arxiv.org·

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries

📊Model Serving Economics arxiv.org·

Closing the Calibration Gap in Semantic Caching

📊Search Ranking arxiv.org·

Temporal Preference Optimization for Unsupervised Retrieval

Covered by ai-brief.liziran.com

📊Search Ranking arxiv.org·

Personalization and Evaluation of Conversational Information Access

🔍Search Indexing arxiv.org·

Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation

📊Search Ranking arxiv.org·

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval

🪄Prompt Engineering arxiv.org·

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents

📊Search Ranking arxiv.org·

Non-negative Elastic Net Decoding for Information Retrieval

The UK CMA orders Google to provide greater transparency on how its search rankings work and to let users transfer their search data to authorized third parties...

Google says LLMS.txt files won’t harm or help your search rankings

Brit competition cops order Google to make search rankings less mysterious

When Global Gating Is Enough: Admission-Time Hubness Control in Anisotropic Vector Retrieval Systems

ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments

Human-on-the-Loop Orchestration for AI-Assisted Legal Discovery

Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees

SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval

Query-aware Routing for Filtered Approximate Nearest Neighbors Search

Private Information Retrieval for Large-Scale DNA-Based Data Storage

Understanding the Behaviors of Environment-aware Information Retrieval

Stellar: Scalable Multimodal Document Retrieval for Natural Language Queries

Closing the Calibration Gap in Semantic Caching

Temporal Preference Optimization for Unsupervised Retrieval

Personalization and Evaluation of Conversational Information Access

Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval

PACMS: Submodular Context Selection as a Pluggable Engine for LLM Agents

Easy Reads: A Python program for making Scientific Papers on arXiv more Reader Friendly and Accessible