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Designing a Framework for Conversational Interfaces: Combining the latest advances in machine learning with earlier approaches

QueueVolume 21Issue 1Pages: 60pp 85–101https://doi.org/10.1145/3587715
Published:07 April 2023Publication History
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Abstract

Wherever possible, business logic should be described by code rather than training data. This keeps our system's behavior principled, predictable, and easy to change. Our approach to conversational interfaces allows them to be built much like any other application, using familiar tools, conventions, and processes, while still taking advantage of cutting-edge machine-learning techniques.

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          cover image Queue
          Queue  Volume 21, Issue 1
          Data Science
          January/February 2023
          125 pages
          ISSN:1542-7730
          EISSN:1542-7749
          DOI:10.1145/3589655
          Issue’s Table of Contents

          Copyright © 2023 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 7 April 2023

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