Ranking Algorithms Courses and Certifications

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours a week
• On-Demand
• Free Online Course (Audit)

Alan Turing Institute

Learning From Ranks, Learning to Rank - Jean-Philippe Vert, Google Brain

Explore differentiable approaches to integrate permutations, sorting, and ranking in machine learning, focusing on embedding techniques and relaxation of ranking operators.

• YouTube
• 42 minutes
• On-Demand
• Free Video

IEEE

Fully Online Matching II - Beating Ranking and Water-filling

Explore advanced online matching algorithms, comparing Ranking and Water-filling methods. Learn about Balanced Ranking and Eager Water-filling techniques for improved performance in fully online scenarios.

• YouTube
• 25 minutes
• On-Demand
• Conference Talk

Association for Computing Machinery (ACM)

ACM ICTIR 2024 - Theoretical Aspects of Information Retrieval

Explore cutting-edge research in information retrieval through 26 original papers and a keynote on exploration systems, covering topics from query performance to AI-powered recommendations.

• YouTube
• 4 hours 9 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Collection Fusion - 2009

Explore advanced techniques for merging and analyzing diverse data collections, enhancing information retrieval and data mining capabilities.

• YouTube
• 1 hour 29 minutes
• On-Demand
• Free Video

Relevance and Scoring Mechanisms for RAGs

Master ranking algorithms and advanced scoring with Python. This course covers BM25, BERT, semantic similarity, and ensemble methods, focusing on effective document retrieval, evaluation, and optimization for sophisticated search systems.

• Pluralsight
• 32 minutes
• On-Demand
• Free Trial Available

Optimizing Data Retrieval Techniques

This course will teach you how to enhance data retrieval in your RAG applications by applying relevance scoring and ranking algorithms, and optimizing retrieval components for improved accuracy, efficiency, and speed.

• Pluralsight
• 14 minutes
• On-Demand
• Free Trial Available

Association for Computing Machinery (ACM)

Theory of Information Retrieval - ACM ICTIR 2024 Conference Presentations

Explore cutting-edge research in information retrieval through 26 original papers and a keynote on exploration systems, covering topics from query performance to AI-powered recommendations.

• YouTube
• 5 hours 24 minutes
• On-Demand
• Free Video

OpenSource Connections

Can Search Results be Fair? - Haystack On Tour Austin

Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.

• YouTube
• 33 minutes
• On-Demand
• Free Video

OpenSource Connections

Mastering Hybrid Search: Blending Classic Ranking with Vector Search - Haystack EU 2023

Explore hybrid search systems combining classic ranking and vector search. Learn best practices for enhancing relevancy, managing performance-accuracy tradeoffs, and scaling to production.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

The Treatment of Ties in Rank-Biased Overlap - Evaluation M1.5

Explore the treatment of ties in Rank-Biased Overlap, examining its impact on information retrieval evaluation metrics and ranking systems.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

A Taxation Perspective for Fair Re-ranking - SIGIR 2024

Explore a taxation perspective for fair re-ranking in information retrieval, examining fairness considerations and algorithmic approaches.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Unbiased Learning to Rank - Lessons from Baidu's Large-Scale Search Dataset

Explore real-world insights from Baidu's search data analysis, examining unbiased learning-to-rank methodologies and their practical implications for search engine optimization.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation

Explore advanced techniques in unbiased learning-to-rank systems, focusing on propensity estimation methods and their impact on fair ranking algorithms and search result optimization.

• YouTube
• 15 minutes
• On-Demand
• Free Video

SF Python

Ranking and Retrieval Techniques for RAG Applications with Haystack

Discover how to enhance LLM applications using retrieval and ranking techniques in Haystack, focusing on Lost in the Middle and Diversity Rankers to improve RAG pipeline performance and accuracy.

• YouTube
• 30 minutes
• On-Demand
• Free Video