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Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining

Efficient Strategies and Analytics Solutions for Social Media Targeting via Text Mining
通过文本挖掘实现社交媒体定位的高效策略和分析解决方案
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

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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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Efficient support for multi-attribute top-k relational queries: a cost-based approach
  • 批准号:
    328087-2006
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $0.95万
  • 财政年份:
    2008
  • 负责人:
    Ayanso, Anteneh
  • 依托单位:
Efficient support for multi-attribute top-k relational queries: a cost-based approach
  • 批准号:
    328087-2006
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $0.95万
  • 财政年份:
    2007
  • 负责人:
    Ayanso, Anteneh
  • 依托单位:
Efficient support for multi-attribute top-k relational queries: a cost-based approach
  • 批准号:
    328087-2006
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $0.95万
  • 财政年份:
    2006
  • 负责人:
    Ayanso, Anteneh
  • 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