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Other companies explore ways how they can use chatbots internally, for example for Customer Support, Human Resources, or even in Internet-of-Things (Io T) projects.
The notoriety of Turing's proposed test stimulated great interest in Joseph Weizenbaum's program ELIZA, published in 1966, which seemed to be able to fool users into believing that they were conversing with a real human.Interface designers have come to appreciate that humans' readiness to interpret computer output as genuinely conversational—even when it is actually based on rather simple pattern-matching—can be exploited for useful purposes. While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. Chatbot competitions focus on the Turing test or more specific goals.Most people prefer to engage with programs that are human-like, and this gives chatbot-style techniques a potentially useful role in interactive systems that need to elicit information from users, as long as that information is relatively straightforward and falls into predictable categories. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). Two such annual contests are the Loebner Prize and The Chatterbox Challenge (offline since 2015, materials can still be found from web archives).SAP partnered with Kore Inc, a US-based chatbot platform vendor, to build enterprise-oriented chatterbots for certain SAP products like SAP Hana Cloud Platform, SAP Cloud for Customer (C4C), SAP Success Factors and Concur.Other large companies such as Lloyds Banking Group, Royal Bank of Scotland, Renault and Citroën are now using automated online assistants instead of call centres with humans to provide a first point of contact.Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition.Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database.The second task may involve different approaches depending on the type of the response that the chatbot will generate.The usage of the chatbot can be monitored in order to spot potential flaws or problems.It can also provide useful insights that can improve the final user experience These cloud platforms provide Natural Language Processing, Artificial Intelligence and Mobile Backend as a Service for chatbot development.Malicious chatbots are frequently used to fill chat rooms with spam and advertisement, by mimicking human behaviour and conversations or to entice people into revealing personal information, such as bank account numbers. Messenger, Windows Live Messenger, AOL Instant Messenger and other instant messaging protocols.