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DevTO #82: Talk #1: Simple Recommendation Engines

DevTO #82: Talk #1: Simple Recommendation Engines 2018-09-24


Hedieh Montazeri |

Shutterstock Custom connects photographers around the world to brands in order to deliver visual content. The question here is "who is the best photographer for each brand?" providing that many of these photographers are new to the system and the cold start problem is a challenge. This recommendation engine works with a data mining methodology called Minkowski distance. The model recommends photographers with highest similarity to what brands ask for. The model is adaptable and general enough to be applied in any kind of recommendation systems. Also, the advantage is to not worry about feedback at the start which is a concern in most of recommenders.

Hedieh is a data scientist at Shutterstock Custom with background in software development. She helps companies understand their data, solve their business problems and make data-driven features that fit their data model. She believes that not all ready-to-cook data solutions are the best answer. Business problems need exploration, research, discovery and build accordingly.

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