09-03, 11:00–11:30 (Europe/Vilnius), Main
A session-based recommendation algorithm with the usage of metric learning is an approach that can outperform existing methods simultaneously being less complex than other approaches like GRU4REC. Here we will show how our algorithm works, why metric learning is a good direction for recommendations tasks, and how to implement this solution to session recommendations using popular deep learning libraries like TensorFlow or PyTorch.
Open Source, Machine Learning, Deep Learning, Scientific Research
A data scientist working in the marketing sector. Gained experience both in academia and industry, fascinated with problems that can be solved with data and a little mathematics.