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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

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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)

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