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Making Machines Understand You

In this post, I will explain how bol. com is going to interpret what the user says using Machine Learning and Natural Language Processing. Historically we have been doing that in multiple ways: by informing the customer on our website, in our app, in our email communication, using our chatbot Billie and in our call center.

Making Machines Understand You

Making sense of the user agent string

Ever since I’ve started working for a WebAnalytics company in 2005 I’ve been working on problems related to making sense of web data. One of the most difficult elements in this type of analysis is making sense of the user...

Making sense of the user agent string

Mapping object models with MapStruct - a case study

Introduction I was once told that a good programmer is a lazy programmer. A good programmer avoids typing tedious code, where the code could basically write itself. Self-writing code – wouldn’t that be great? Unfortunately, we’re not quite there yet.

Mapping object models with MapStruct - a case study

How to write MapStruct mappers for object hierarchies

Introduction MapStruct is a framework that alleviates us, programmers, from the unexciting task of writing code to copy one object model to another, field by field. This blog elaborates on how to write MapStruct mappers for object hierarchies. If,...

How to write MapStruct mappers for object hierarchies

How to map optional fields with MapStruct

Introduction MapStruct is a framework that alleviates us, programmers, from the unexciting task of writing code to copy one object model to another, field by field. In this blog we show you how to map optional fields with MapStruct....

How to map optional fields with MapStruct

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