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Springer - Neural Approaches to Conversational Information Retrieval

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Description

Expand your academic and professional library with Neural Approaches to Conversational Information Retrieval, part of the prestigious Information Retrieval Series (Volume 44) from Springer. This specialized text is designed for readers interested in the intersection of artificial intelligence and information science. As a key entry in the Information Retrieval Series, this book provides a focused look at how neural methods are changing the landscape of conversational search and data retrieval. It serves as a valuable resource for students, researchers, and professionals working within the fields of computer science and machine learning. Whether you are studying advanced computing or working on practical AI applications, this volume offers a structured look at modern retrieval techniques. Add this essential Springer publication to your collection to stay informed on the latest developments in conversational information systems.

Key Features

Part of the authoritative Information Retrieval Series (Volume 44) from Springer.

Focuses on neural approaches within the field of conversational information retrieval.

Targeted content for computer science and AI/Machine Learning professionals.

Academic resource suitable for research and advanced study in computing.

Published by Springer, a leader in scientific and technical literature.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 March 2024
Listed Since
21 February 2024

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