Recommendation Algorithm Development for Dating Service Based on Machine Learning

Student: Skornyakov Sergey

Supervisor: German Tsarev

Educational Programme: Electronic Business (Master)

Year of Graduation: 2017

Popularity of dating services keeps growing on constant basis, as well as popularity of applying methods of machine learning for automation various processes, in particular, for recommendations in online dating services. This graduation project is dealing with development of recommendation algorithm for online dating services based on machine learning. Аlgorithm is consisted of several neural networks, connected to each other, including convolutional neural networks for face recognition. On top of that, the special web service for data gathering was developed in order to get datа set for machine learning algorithms. The developed algorithm is tested on data samples by means of different neural network architectures.

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