Online Learning for Pinpoint Selling

This internship applies data mining and machine learning techniques to increase conversion rates in the interactive online marketing industry by providing personalized recommendation to specific customer segments. It will consist of two parts. The first part is to classify customers according to what message would resonate. The intern will apply some techniques to improve the accuracy of classification. The second part is to order resources from most to least interesting for website. He will mainly apply an information filtering technology called collaborative filtering to recommend resources according to the similarity of customers. This technique will help customers to find new useful information, not just customer interests predefined in user profiles.

Faculty Supervisor:

Dr. Bruce Spencer

Student:

Biao Wang

Partner:

Pinpoint Selling

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of New Brunswick