Anno 2021, companies in retail have more and more data at their disposal. Data about their business processes, customers, products; virtually every aspect of modern business is subject to large amounts of back-end data. This data can then be used to make rational and informed decisions and strategic decisions. Furthermore…

The development of transformer models such as BERT (Devlin et al., 2018) and GPT3 (Floridi & Chiriatti, 2020) have revolutionized the world of Natural Language Processing (NLP). These models now show a human level of intelligence in tasks such as text generation and paraphrasing. Earlier research has shown that the…

Transformer-based models have rapidly become the state-of-the-art for many Natural Language Processing (NLP) tasks, the most infamous probably being OpenAI’s GPT-3. Such models can help people with different writing tasks and take away some labor-intensive and manual burdens. Imagine you’re a retailer that sells several different models of a product…

Over the last few years, the number of consumers that are starting to shop online is increasing. It is of great importance for e-Commerce companies to appear as high as possible in search engines in order to attract potential customers to their website. To increase the visibility of a website to users of a search engine, the application of Search Engine Optimization (SEO) could be an interesting option to apply. Similar or duplicate product descriptions will cause a lower rank in the search engines. Besides, a description should be informative, realistic, and written in plain language to increase the visibility of the product.

Afgelopen jaren is het aantal verschillende producten dat webshops aanbieden flink gestegen. Het gevolg hiervan is dat meerdere fabrikanten productdata aan de webshop moeten aanleveren. Als iedereen dit op zijn eigen manier zou doen, zal dit voor veel onduidelijkheid zorgen. Om deze reden is een standaardformaat ingevoerd voor onder andere…

Introduction to Reinforcement Learning Reinforcement Learning is a hot topic in the field of machine learning. Think about self driving cars or bots to play complex games. However, the application of this technique to operational problems is scarce. …

Introduction to text classification and risk assessments Natural Language Processing (NLP) has always been at the heart of Artificial Intelligence (AI) research. The ultimate objective of NLP is to read, decipher, understand and make sense of human languages in a valuable manner. Text classification is one of the most mature fields within NLP. The purpose of text…

So you’ve spent days, weeks or even months working on your cutting edge machine learning model; cleaning data, engineering features, tuning model parameters and endless testing. And now that it’s finally ready for production, you want to make it available in an easy and reliable fashion. …

E-commerce is booming, the field of machine learning is maturing more and more, and therefore it is no wonder that these two fields are becoming more interweaved than ever before. For consumers this is most often notable via product recommendations, which are driven by intelligent algorithms. A less notable aspect…