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Research Paper to Design and Develop an Algorithm for Optimization Chatbot

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Ubiquitous Intelligent Systems (ICUIS 2021)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 302))

Abstract

Digital era has witnessed the globe with the emergence of a special category of software bot-chatbot which is manifested in millions of popular and demanding applications. Prominance to study details behind popularity of chatbot and its characteristics which created a milestone and drastic changes in modern applications is quite fascinating. Aim is to detect potential knowledge gaps to identify, compare and evaluate chatbot. Objective is to propose an optimization chatbot model for evaluation with design and developing an optimization chatbot algorithm to predict levels of chatbot optimization. Focus on evaluating 16 chatbot-Botmother, Botpress, Botsify, Botsociety, Botstar, Bot.xo, Chatize, Chatfuel, Chengo, Clustaar, Crisp, Drift, Engati, Flow.xo, Flow.ai and Freshchat, based on 14 features visualflow builder, text chatbot, use, setup, tutorials, documentation, help, keywords, intents, entities, dialogflow integration, optimization A/B testing, multiple languages and live chat. Algorithm systematically computes scores of chatbot and feature, levels of optimization, mean, median, range, standard deviation and percentage of features optimized. The results depict importance of the distribution of key performance indicator features in chatbot, 9 optimized chatbot, 74.55% features in chatbot, 64.28% of optimized features. Thus, Optimization chatbot algorithm useful to predict aspects related to improving overall chatbot performance.

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Authors and Affiliations

  1. Research scholar, Department of Computer Science and Engineering, School of Engineering, Dayananda Sagar University, Bangalore, India

    Bedre Nagaraj

  2. Associate Professor, Department of Computer Science and Engineering, School of Engineering, Dayananda Sagar University, Bangalore, India

    Kiran B. Malagi

Authors
  1. Bedre Nagaraj
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  2. Kiran B. Malagi
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Correspondence to Bedre Nagaraj .

Editor information

Editors and Affiliations

  1. Department of EEE, Shree Venkateshwara Hi-Tech Engg College, Gobichettipalayam, India

    P. Karuppusamy

  2. Castilla-La Mancha University, Ciudad Real, Spain

    Fausto Pedro García Márquez

  3. Department of Computer Science, Kennesaw State University, Marietta, GA, USA

    Tu N. Nguyen

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Nagaraj, B., Malagi, K.B. (2022). Research Paper to Design and Develop an Algorithm for Optimization Chatbot. In: Karuppusamy, P., García Márquez, F.P., Nguyen, T.N. (eds) Ubiquitous Intelligent Systems. ICUIS 2021. Smart Innovation, Systems and Technologies, vol 302. Springer, Singapore. https://doi.org/10.1007/978-981-19-2541-2_31

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