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).

Waterloo 的基于 Dialog 和 AI 的搜索引擎软件（也称为 CARE-RATE）是一种新颖的基于云的 软件是通过以用户为中心的设计方法开发的（即目标主要用户的参与）。 它采用自然语言处理和深度学习，因此最终用户将具有问答类型 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。软件系统使用此信息来执行搜索、过滤和对相关结果进行排名 补充用户特定背景的在线资源。它可以学习相关网站上的“元数据” 用户需求（例如，如果用户需要有关财务规划的信息，则将提供一组适当的文件 根据该特定标准策划）。用户将能够评价结果的“有用性”，从而使系统 随着时间的推移自主学习，改进未来的搜索和结果。当前竞争激烈的搜索引擎 依赖个性化搜索或长期搜索历史并生成大量（主要是）不相关的内容 信息，特别是在现有系统无法收集用户的历史搜索历史记录或 用户的意图因词汇不足而变得模糊。 Waterloo技术的优势包括：（1）通过主动调整搜索结果来获得更好的搜索结果 用户的需求 (2) 软件在与用户需求相关的网站上学习“元数据” (3) 半监督 学习（即用户对搜索结果的评分）使系统能够逐步执行更好的搜索。 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。 这些行业的企业面临着拥有大量数据但缺乏全面的数据的挑战 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的地方（例如律师事务所、医疗和制药行业）。