Targeted Online Marketing Based on Machine Learning

Online marketing is a popular type of advertising, which utilizes the Internet to deliver advertising information to consumers in the digital era. Despite the advantages of online marketing, there is still much room for efficiency improvement. The major problem with existing online marketing is that there tend to be a mismatch between what are delivered to consumers and what consumers prefer to receive. Consequently, businesses cannot benefit much from their advertisements and consumers are annoyed by the useless information. In this project, we plan to utilize machine learning techniques to enable targeted online marketing. The implemented marketing system resulting from the proposed project will help strengthen the partner organization’s leading role in online marketing, ultimately generating tax revenue provincially and federally.

Faculty Supervisor:

Qiang Ye;Kai Liu

Student:

Partner:

Fanta7 Media Group

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program: