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E-commerce companies naturally need to cope with lots of data. Besides being used for the actual purchase, this data is also helpful for offering diverse (personalized) services like pinpoint search, chat bots, recommendations and so on. Using as much data as possible seems to be helpful and is often said to optimize results until reaching a plateau. In this live talk, Dr. Niklas Pietsch and members of his research team shared and dicussed the result that their experiments showed when purposefully applying the concept of data minimalism to a recommender system.
Dr. Niklas Pietsch studied physics and philosophy at the University of Hamburg. For the past five years he has been developing and implementing machine learning applications for clients from the retail, e-commerce, and logistics industry. As Data Scientist at the Otto Group Solution Provider (OSP) GmbH Dr. Pietsch is also active in the research and development of data-minimalistic Artificial Intelligence.