Analysis, design, and implementation of a recommendation engine to suggest charities

The goal of this research is to investigate and build a recommendation system that suggests charities to users based on their previous donations. One of the first successful recommendation systems was Amazon’s “Customers who bought this, also bought…”. This recommendation system focuses mainly on making it easier for users to find relevant information and increasing sales. The main challenge with this research is to investigate the differences between commercially implemented e-commerce recommendation systems and a recommendation system driven by altruistic goals.

Faculty Supervisor:

Yves Pauchard;Mohammad Moshirpour

Student:

Sourabh Mokhasi;Pablo Adames

Partner:

Benevity Inc

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

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