CARE-RATE: An AI-based dynamic online information filtering system

CARE-RATE：基于人工智能的动态在线信息过滤系统

• 批准号: 555659-2020
• 负责人: Boger, Jennifer
• 金额: $ 1.09万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705372
• 关键词: CARE; RATE; AI; based; dynamic

Waterloo's Dialog & AI Based Search Engine Software (also called CARE-RATE) is a novel cloud-based software is developed through user-centred design approaches (i.e. involvement from targeted primary users). It employs natural language processing and deep learning such that an end user will have a Q & A type dialogue with the system to capture a problem he/she is encountering as well as relevant contextual information. The software system uses this information to perform a search, filter, and rank results of relevant online resources that complement the user's specific context. It can learn "meta-data" on websites relevant to user needs (e.g. if a user needs information on financial planning, an appropriate set of documents will be curated with that particular criterion). Users will be able to rate the "usefulness" of results, enabling the system to autonomously learn over time, improving future searches and results. Current competitive search engines rely on personalized search or long-term search histories and generate large amounts of (mainly) irrelevant information, particularly in cases where the system at hand is unable to gather users' historical search history or the user' intent is obscured by an inadequate vocabulary. Advantage of Waterloo's technology include: (1) better search results by pro-actively adapting search results to the needs of the user (2) software learns "meta-data" on websites relevant to user needs (3) semi-supervised learning (i.e. user rating of search results) enables system to perform progressively better searches. This innovation has applications in most industries including advertising, e-commerce, education, etc. Enterprises in these industries face the challenge of having large sets of data while lacking comprehensive automated search systems and are unable to extract highly relevant content based on users' queries or keyword inputs. Examples of other use cases include database mining, internal proprietary data searches particularly where there are complex technical terms or meta-data (e.g. law firms, medical and pharmaceutical industries).

滑铁卢的对话和基于人工智能的搜索引擎软件（也称为CARE-RATE）是一个新颖的基于云的 软件是通过以用户为中心的设计方法（即目标主要用户的参与）开发的。 它采用自然语言处理和深度学习，使最终用户将有一个问答类型 与系统对话，以捕获他/她遇到的问题以及相关的上下文 信息.软件系统使用该信息来执行搜索、过滤和排序相关的搜索结果。 补充用户特定背景的在线资源。它可以在相关网站上学习“元数据”， 用户需求（例如，如果用户需要财务规划方面的信息， 以这种特殊的标准来衡量）。用户将能够评价结果的“有用性”， 随着时间的推移自主学习，改善未来的搜索和结果。当前竞争性搜索引擎 依赖于个性化搜索或长期搜索历史，并产生大量（主要）无关 信息，特别是在系统无法收集用户的历史搜索历史的情况下， 用户的意图被不适当的词汇表所掩盖。 Waterloo技术的优势包括：（1）通过主动调整搜索结果， 用户的需求（2）软件学习与用户需求相关的网站上的“元数据”（3）半监督 学习（即，搜索结果的用户评级）使得系统能够执行逐渐更好的搜索。 这项创新在大多数行业都有应用，包括广告，电子商务，教育等。 这些行业中的企业面临着拥有大量数据的挑战，同时缺乏全面的 自动搜索系统，无法根据用户的查询或关键字提取高度相关的内容 输入。其他用例的示例包括数据库挖掘、内部专有数据搜索（特别是 存在复杂的技术术语或元数据（例如，律师事务所、医疗和制药行业）。