Neural networks with memory for automatic customer service conversations

具有自动客户服务对话记忆的神经网络

• 批准号: 133201
• 金额: $ 8.76万
• 依托单位: TRUE AI LTD
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133201
• 关键词: Neural; networks; memory; automatic; customer

True AI is developing TRACS - an Artificial Intelligence, Text Response Automation Customer Service system. TRACS significantly reduces the need for human customer service interaction, improves operational efficiency and enhances the overall level of customer experience and consequently, consumer satisfaction. It works by making response suggestions to a text based customer service representative, ensuring quality and relevance of the answer provided to the consumer. This project is an industrial research effort focused effort to develop a new artificial intelligence algorithm. Our goal throughout its duration is to implement conversation memory capabilities within our existing TRACS technology, allowing the system to generate more intelligent and context-aware responses.

True AI正在开发TRACS——一个人工智能文本响应自动化客户服务系统。TRACS显著减少了对人力客户服务交互的需求，提高了运营效率，提高了客户体验的整体水平，从而提高了消费者满意度。它的工作原理是向基于文本的客户服务代表提供响应建议，确保提供给消费者的答案的质量和相关性。该项目是一项工业研究工作，重点是开发一种新的人工智能算法。在整个过程中，我们的目标是在我们现有的TRACS技术中实现会话记忆功能，允许系统生成更智能和上下文感知的响应。