Targeted marketing procedures by data mining operations on Social Networks.

Built on Web 2.0 principles, LimeSpot Solution Inc. will work with intern(s) to research on multiple modules that cover a variety of different aspects of applicability of social network in marketing and e-commerce: user driven, provider driven, device driven, and multiple providers. The research will help the partner organization to improve upon the current offerings and make our products more appealing to businesses and their customers. Intern(s) are expected to perform the following duties: I. Research on social profiles and behavior and Facebook development features: In this phase, the social profiles and users’ behavioral information will be analyzed to extract the attributes that could be useful for targeting commercial products. Additionally, Facebook programming interfaces will be analyzed to extract the methods and technical knowledge needed to access extracted profile information in each application in alignment with its overarching functionalities. II. Platform architecture and design: Combining the deliverables from the first phase with each application’s overarching functionalities, the platform would be architectural base and designed to underlie each application with functional libraries and infrastructure that help rapid software development as well as Facebook programmatic collaboration.

Faculty Supervisor:

Brent Mainprize

Student:

Partner:

Limespot Solutions Inc

Discipline:

Computer science

Sector:

New and Digital Media; Technology

University:

The University of British Columbia; University of Victoria

Program: