Exploring the Potential of Graph Neural Networks to Transform Recommendations at Zalando
Delivering personalized recommendations is key to engaging Zalando’s customers, but traditional models can miss the... Read more...
2024
Paper Announcement: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation
Sharing our latest research paper on leveraging LLM-as-a-Judge for scalable, multimodal relevance assessment in... Read more...
2024
Paper Announcement: Joint Order Selection, Allocation, Batching and Picking for Large Scale Warehouses
Sharing our latest research paper on warehouse order batching. Read more...
2024
Applied Methods from Mathematical Optimization and Machine Learning in E-commerce
Report from a workshop hosted by Zalando in October 2022 Read more...
2023
Zalando's Machine Learning Platform
Architecture and tooling behind machine learning at Zalando Read more...
2022
Tuning Image Classifiers using Human-In-The-Loop
We present an Expectation–Maximization (EM) algorithm for iteratively estimating the optimal class-confidence... Read more...
2021
Space efficient machine learning feature stores using probabilistic data structures - a benchmark
In this post, we describe a technique for providing machine learning feature stores with sublinear space... Read more...
2021
Zalando Research Releases “Flair”
Open sourcing machine learning research for natural language processing (NLP) Read more...
2018
Train Deep Learning Models on AWS
A real-life example of how to train a Deep Learning model on an AWS Spot Instance using Spotty Read more...
2018
Shop the Look with Deep Learning
Retrieving fashion products based on a query image Read more...
2018