Trends, Applications, and Challenges of Chatbot Technology, Bayan Abu Shawar, Mohammad Amin Kuhail, Rawad Hammad
Автор: Bayan Abu Shawar, Mohammad Amin Kuhail, Rawad Hammad Название: Trends, Applications, and Challenges of Chatbot Technology ISBN: 1668462389 ISBN-13(EAN): 9781668462386 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 32017.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chatbots offer exceptional services to end-users due to various factors including the ability to respond to customers' requests quickly according to their convenience. Given the magnitude of research and interest in chatbots, further study on several vital and evolving concerns including human-bot interaction, chatbot adoption, chatbot architecture and design considerations, and chatbot evaluation is required to ensure the technology is utilized appropriately.
Trends, Applications, and Challenges of Chatbot Technology provides novel research content and reviews of current chatbot technology and sheds light on challenges and open questions as well as possible research directions. Covering key topics such as human-computer interaction, customer support, and algorithms, this reference work is ideal for computer scientists, industry professionals, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
Описание: This book constitutes the proceedings of the 4th International Workshop on Chatbot Research and Design, CONVERSATIONS 2020, which was held during November 23-24, 2020, hosted by the University of Amsterdam.
Описание: The next step in the evolution of user interfaces is here. Chatbots let your users interact with your service in their own natural language. Use free and open source tools along with Ruby to build creative, useful, and unexpected interactions for users.
Автор: Abhishek Singh; Karthik Ramasubramanian; Shrey Shi Название: Building an Enterprise Chatbot ISBN: 1484250338 ISBN-13(EAN): 9781484250334 Издательство: Springer Рейтинг: Цена: 3658.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. You’ll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples.
In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud.
By the end of Building an Enterprise Chatbot, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user.
What You Will Learn
Identify business processes where chatbots could be usedFocus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot Design the solution architecture for a chatbotIntegrate chatbots with internal data sources using APIsDiscover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning
Who This Book Is For
Data scientists and enterprise architects who are currently looking to deploy chatbot solutions to their business.
Автор: Williams Sam Название: Hands-On Chatbot Development with Alexa Skills and Amazon Lex ISBN: 1788993489 ISBN-13(EAN): 9781788993487 Издательство: Неизвестно Рейтинг: Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book will help you to discover important AWS services such as S3 and DyanmoDB. Gain practical experience building end-to-end application workflows using NodeJS and AWS Lambda for your Alexa Skills Kit. You will be able to build conversational interfaces using voice or text and deploy them to platforms like Alexa, Facebook Messenger and Slack.
Автор: Asbj?rn F?lstad; Theo Araujo; Symeon Papadopoulos; Название: Chatbot Research and Design ISBN: 3030395391 ISBN-13(EAN): 9783030395391 Издательство: Springer Рейтинг: Цена: 9146.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 18 revised full papers presented in this volume were carefully reviewed and selected from 31 submissions. The papers are grouped in the following topical sections: user and communication studies user experience and design, chatbots for collaboration, chatbots for customer service, and chatbots in education.
Описание: This book constitutes the proceedings of the 5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021, which was held during November 2021.Due to COVID-19 pandemic the conference was held online. The 12 papers included in this volume were carefully reviewed and selected from a total of 25 submissions. The papers in the proceedings are structured in four topical groups: Chatbot User Insight, Chatbots Supporting Collaboration and Social Interaction, and Chatbot UX and Design.
Автор: F?lstad Название: Chatbot Research and Design ISBN: 3031255801 ISBN-13(EAN): 9783031255809 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022, which was held during November 2022. The 12 papers included in this volume were carefully reviewed and selected from a total of 27 submissions. They were organized in topical sections named: chatbot users and user experience; chatbot design and applications.
Автор: Lapan Maxim Название: Deep Reinforcement Learning Hands-On - Second Edition ISBN: 1838826998 ISBN-13(EAN): 9781838826994 Издательство: Неизвестно Рейтинг: Цена: 15447.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With six new chapters, Deep Reinforcement Learning Hands-On Second edition is completely updated and expanded with the very latest reinforcement learning (RL) tools and techniques, providing you with an introduction to RL, as well as the hands-on ability to code intelligent learning agents to perform a range of practical tasks.
Описание: This book provides a comprehensive introduction to Conversational AI. While the idea of interacting with a computer using voice or text goes back a long way, it is only in recent years that this idea has become a reality with the emergence of digital personal assistants, smart speakers, and chatbots. Advances in AI, particularly in deep learning, along with the availability of massive computing power and vast amounts of data, have led to a new generation of dialogue systems and conversational interfaces. Current research in Conversational AI focuses mainly on the application of machine learning and statistical data-driven approaches to the development of dialogue systems. However, it is important to be aware of previous achievements in dialogue technology and to consider to what extent they might be relevant to current research and development. Three main approaches to the development of dialogue systems are reviewed: rule-based systems that are handcrafted using best practice guidelines; statistical data-driven systems based on machine learning; and neural dialogue systems based on end-to-end learning. Evaluating the performance and usability of dialogue systems has become an important topic in its own right, and a variety of evaluation metrics and frameworks are described. Finally, a number of challenges for future research are considered, including: multimodality in dialogue systems, visual dialogue; data efficient dialogue model learning; using knowledge graphs; discourse and dialogue phenomena; hybrid approaches to dialogue systems development; dialogue with social robots and in the Internet of Things; and social and ethical issues.
Build enterprise chatbots for web, social media, voice assistants, IoT, and telephony contact centers with Google's Dialogflow conversational AI technology. This book will explain how to get started with conversational AI using Google and how enterprise users can use Dialogflow as part of Google Cloud. It will cover the core concepts such as Dialogflow essentials, deploying chatbots on web and social media channels, and building voice agents including advanced tips and tricks such as intents, entities, and working with context.
The Definitive Guide to Conversational AI with Dialogflow and Google Cloud also explains how to build multilingual chatbots, orchestrate sub chatbots into a bigger conversational platform, use virtual agent analytics with popular tools, such as BigQuery or Chatbase, and build voice bots. It concludes with coverage of more advanced use cases, such as building fulfillment functionality, building your own integrations, securing your chatbots, and building your own voice platform with the Dialogflow SDK and other Google Cloud machine learning APIs.
After reading this book, you will understand how to build cross-channel enterprise bots with popular Google tools such as Dialogflow, Google Cloud AI, Cloud Run, Cloud Functions, and Chatbase.
What You Will Learn
Discover Dialogflow, Dialogflow Essentials, Dialogflow CX, and how machine learning is used
Create Dialogflow projects for individuals and enterprise usage
Work with Dialogflow essential concepts such as intents, entities, custom entities, system entities, composites, and how to track context
Build bots quickly using prebuilt agents, small talk modules, and FAQ knowledge bases
Use Dialogflow for an out-of-the-box agent review
Deploy text conversational UIs for web and social media channels
Build voice agents for voice assistants, phone gateways, and contact centers
Create multilingual chatbots
Orchestrate many sub-chatbots to build a bigger conversational platform
Use chatbot analytics and test the quality of your Dialogflow agent
See the new Dialogflow CX concepts, how Dialogflow CX fits in, and what's different in Dialogflow CX
Who This Book Is For
Everyone interested in building chatbots for web, social media, voice assistants, or contact centers using Google's conversational AI/cloud technology.
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