{"title":"A Comparative Evaluation of Chatbot Development Platforms","authors":"Ioannis Dagkoulis, Lefteris Moussiades","doi":"10.1145/3575879.3576012","DOIUrl":null,"url":null,"abstract":"Chatbots and virtual assistants have become part of people's everyday life. The need for mass production of these services rapidly and efficiently has created an explosion of software-related services focused on developing chatbots. Big companies like Google, Microsoft, Amazon, and IBM offer complete Chatbot Development Platforms and compete with each other. Our effort is to help people interested in using these platforms decide which is the best CDP for their case. Similar attempts have happened but are now outdated as CDPs have introduced breaking changes. We study each CDP, define criteria and calculate scores based on requirement assumptions. In parallel, we observe how innovations in NLP are presented in the market through CDPs.","PeriodicalId":164036,"journal":{"name":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th Pan-Hellenic Conference on Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3575879.3576012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Chatbots and virtual assistants have become part of people's everyday life. The need for mass production of these services rapidly and efficiently has created an explosion of software-related services focused on developing chatbots. Big companies like Google, Microsoft, Amazon, and IBM offer complete Chatbot Development Platforms and compete with each other. Our effort is to help people interested in using these platforms decide which is the best CDP for their case. Similar attempts have happened but are now outdated as CDPs have introduced breaking changes. We study each CDP, define criteria and calculate scores based on requirement assumptions. In parallel, we observe how innovations in NLP are presented in the market through CDPs.
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