CARE-RATE: An AI-based dynamic online information filtering system
CARE-RATE: An AI-based dynamic online information filtering system
批准号:
555659-2020
负责人:
Boger, Jennifer
金额:
$1.09万
依托单位:
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
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
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).
期刊论文(0)
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科研奖励(0)
会议论文
Zero-effort ambient vitals monitoring
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批准号:RGPIN-2018-04716
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项目类别:Discovery Grants Program - Individual
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资助金额:$2.4万
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财政年份:2021
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负责人:Boger, Jennifer
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依托单位:
Zero-effort ambient vitals monitoring
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批准号:RGPIN-2018-04716
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.4万
-
财政年份:2020
-
负责人:Boger, Jennifer
-
依托单位:
Zero-effort ambient vitals monitoring
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批准号:RGPIN-2018-04716
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.4万
-
财政年份:2019
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负责人:Boger, Jennifer
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依托单位:
Zero-effort ambient vitals monitoring
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批准号:DGECR-2018-00263
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项目类别:Discovery Launch Supplement
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资助金额:$0.91万
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财政年份:2018
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负责人:Boger, Jennifer
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依托单位:
Zero-effort ambient vitals monitoring
-
批准号:RGPIN-2018-04716
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$2.4万
-
财政年份:2018
-
负责人:Boger, Jennifer
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依托单位:
国内基金
海外基金
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批准号:60902054
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项目类别:青年科学基金项目
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资助金额:19.0万元
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批准年份:2009
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负责人:邓兵
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依托单位: