Скачать или смотреть Challenges in developing Visual-Search system at Allegro, Bartosz Ludwiczuk &Bartosz Paszko @Allegro

Presentation given during GHOST Day: AMLC 2022.

About the speakers:
Bartosz Paszko is a Research Scientist at Allegro Machine Learning Research team and a graduate of Warsaw University of Technology. During his career he worked on a variety of projects in the field of computer vision. Privately, a fan of generative models, books and climbing.

Bartosz Ludwiczuk also works at Allegro at MLR team. His main focus is techniques related to representation learning techniques, mainly in the image domain. Successfully developed and deployed systems related to Face-Recognition, Image-Retrieval, and Gait-Recognition. In his free time, he goes on bicycle trips with the child in a trailer.

Abstract:
As 'picture is worth a thousand words', image-search engines are one of the promising e-commerce techniques which would facilitate finding the right product in the immense marketplace. And this is a reason why in Allegro we are constantly developing such a feature, called Visual-Search. While transforming the POC into a fully functional feature, we tackled many topics related to Machine Learning and deployment strategy.

In this talk, we will go through each step of this transformation. Starting from synthetic dataset creation for mock-up user behavior, merging visual recommendations from many departments, and proper validation schema of the whole, multi-model pipeline. As our journey had many ups and downs, we will summarize it with the lesson learned from developing the image search engine.