E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect
of this data is a category tree that is being used in search and recommendation. However, in …

We propose an approach that enhances arbitrary existing cross-modal image retrieval
performance. Most of the cross-modal image retrieval methods mainly focus on direct …

Abstract This chapter shows Stitch Fix's industry case as an applied fashion application in
cognitive cities. Fashion goes hand in hand with the economic development of better …

In this paper we focus on cross‐modal (visual and textual) e-commerce search within the
fashion domain. Particularly, we investigate two tasks: 1) given a query image, we retrieve …

Extracting knowledge and actionable insights from fashion data still presents challenges
due to the intrinsic subjectivity needed to effectively model the domain. Fashion ontologies …

When we refer to an image that attracts our attention, it is natural to mention not only what is
literally depicted in the image, but also the sentiments, thoughts and opinions that it invokes …

In this paper we focus on cross-modal (visual and textual) attribute recognition within the
fashion domain. Particularly, we investigate two tasks: 1) given a query image, we retrieve …

Suppose you want to learn more about a certain topic. For the sake of argument, let us
assume this topic is multimodal machine learning for information retrieval. How would you …