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Cold-Start Problem in customer recommentations


Finding better and faster ways to predict user needs and behaviour. A framework for a Recommender System in a Microservices environment will be produced.

Rameez Hassan Syed

Aarhus School of Engineering (IHA)

Project partners:

Introduction:

This project investigates how the owner of a website can use algorithms and users location data (based on IP) to recommend which relevant "life event" (getting married, moving away from home, buying new house, starting school, etc). the user is likely to be in right now. The challenge is not to use cookies or other tracking methods. "Cold Start" means the user has never been registered to visit this or other sites before.

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