Dynamic Information Retrieval for Digital Autonomous Workflow based Web Search

当用户浏览网页时，CScout有限公司的技术会预先在网上搜索相关和有用的信息。它帮助人们在没有搜索引擎的情况下进行网络搜索，通过预测他们的工作流程（一个人在完成在线任务时访问的网站和网络搜索的顺序）。CScout Ltd的第一个产品被称为Context Scout，这是一个针对在单个网站上运行的招聘人员的Chrome扩展。为了将使用扩展到其他网站和用户类型，可以通过观察一个人在网络上的行为来预测与新任务相关的顺序和数据。一旦预测，相关数据可以通过检测提前检索：工作流程何时开始，任务正在完成，以及用户的类型。这可以通过使用动态信息检索（Dynamic Information Retrieval）来实现，这是一种由CScout创始人和伦敦大学学院的学术合作者创建的新搜索方法，可以自学用户基于网络的工作流程。该项目将为企业人工智能系统市场开发数字自主系统。该系统将根据用户以前的行为和当前的任务，预先考虑用户的信息需求，并在用户访问的每个网页上增加这些信息，从而促进知识工作者的工作流程/任务自动化。

CScout Ltd’s technology preemptively searches the web for relevant and useful information while a user is browsing web pages. It helps people perform web search without a search engine by anticipating their workflow (the sequence of websites visited & web searches made by a person when completing a task online). CScout Ltd's first product was called Context Scout, a Chrome extension targeted at recruiters that operated on a single website. To expand usage to other websites and types of user, the sequence and data relevant to new tasks can be predicted by observing a person’s behaviour on the web. Once predicted, relevant data can be retrieved in advance by detecting: when a workflow has started, the task being completed, and the type of user. This can be achieved by using Dynamic Information Retrieval, a new search methodology created by the CScout founder and a UCL academic collaborator, to self-learn a user’s web-based workflow. This project will develop a digital autonomous system for the enterprise AI systems market. The system will facilitate the workflow/task automation of knowledge workers by preempting the information needs of users, based on their previous behaviour and current task, augmenting each web page the user visits with this information.