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Springer Neural Approaches to Conversational Information Retrieval

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Description

Explore the latest developments in Conversational Information Retrieval (CIR) with this comprehensive volume from Springer. As deep learning continues to transform natural language processing (NLP) and conversational AI, this book provides a detailed survey of the neural approaches that have emerged in recent years. With the rise of commercial conversational services that allow for natural spoken and typed interactions, there is a growing demand for more human-centric methods in information retrieval. This text addresses that need by examining how modern technology facilitates more intuitive user experiences. Organized into nine distinct chapters, the book begins by motivating CIR research through a review of human search behavior. It provides a clear foundation for understanding how to define and implement effective conversational systems. This is an essential resource for researchers and professionals looking to understand the intersection of deep learning and human-centric interaction in the evolving field of information retrieval.

Key Features

Provides a detailed survey of recent neural approaches in Conversational Information Retrieval (CIR) developed over the last few years.

Examines how deep learning progress has improved natural language processing (NLP) and modern conversational AI capabilities.

Addresses the increasing need for human-centric interactions within the field of information retrieval (IR).

Includes nine comprehensive chapters covering fundamental research motivations and technical definitions.

Analyzes the shift toward natural spoken and typed interaction through modern commercial conversational services.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 March 2023
Listed Since
09 November 2022

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