Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining
Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining
批准号:
522170-2018
负责人:
Ayanso, Anteneh
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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英文摘要
rel8ed.to delivers hidden insights about corporations through deep business data analytics. We combine North Americas largest**repository of public business data with proprietary algorithms to assist customers at the industry, regional, and individual**corporation level. Online advertising systems have emerged that allow targeting of users and segments via a combination of direct**information, demographic, geographic, and psychographic profiling techniques. Applying these methods to our unique data**repository is projected to enhance the contact rate by 10-40% over manual methods of advertising. To create a social media**advertising system with unparalleled customer targeting capabilities, rel8ted.to has pioneered a set of base algorithms and**methods to provide lead generation services for business marketers. These online advertising channels extract greater value from**our data assets, while providing a significant value proposition for these services. However, further improvements are needed to**enhance the capabilities of the product. In collaboration with Brock University, we will develop automated machine learning**techniques to drive constant monitoring and improvement of lead generation data. As well, we will conduct rigorous evaluation of**our advertising system on multiple application settings and develop analytical frameworks for continual product refinement.
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会议论文
Efficient support for multi-attribute top-k relational queries: a cost-based approach
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批准号:328087-2006
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.95万
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财政年份:2008
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负责人:Ayanso, Anteneh
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依托单位:
Efficient support for multi-attribute top-k relational queries: a cost-based approach
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批准号:328087-2006
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项目类别:Discovery Grants Program - Individual
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资助金额:$0.95万
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财政年份:2007
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负责人:Ayanso, Anteneh
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依托单位:
Efficient support for multi-attribute top-k relational queries: a cost-based approach
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批准号:328087-2006
-
项目类别:Discovery Grants Program - Individual
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资助金额:$0.95万
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财政年份:2006
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负责人:Ayanso, Anteneh
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依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位: