YoVDO

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Information Retrieval Courses Machine Learning Courses Information Systems Courses Algorithms Courses Data Structures Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 15-minute conference talk on efficient inverted indexes for approximate retrieval over learned sparse representations. Delve into cutting-edge research presented by authors Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, and Rossano Venturini at the SIGIR 2024 conference. Gain insights into advanced techniques for improving search efficiency, focusing on the application of learned sparse representations in information retrieval systems. Learn about innovative approaches to optimizing inverted indexes for faster and more accurate approximate retrieval, potentially revolutionizing search algorithms and their performance in various applications.

Syllabus

SIGIR 2024 M1.3 [fp] Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Rep


Taught by

Association for Computing Machinery (ACM)

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent