Machine learning systems can help humans to make decisions by providing
...
Finding a product online can be a challenging task for users. Faceted se...
Supervised machine learning utilizes large datasets, often with ground t...
Online retailers often offer a vast choice of products to their customer...
Shopping online is more and more frequent in our everyday life. For
e-co...
Search systems on the Web rely on user input to generate relevant result...
Word embeddings are an essential instrument in many NLP tasks. Most avai...
Involving users in early phases of software development has become a com...
The emerging research field Search as Learning investigates how the Web
...
With the rise of voice assistants and an increase in mobile search usage...
Throughout the search process, the user's gaze on inspected SERPs and
we...
Log analysis in Web search showed that user sessions often contain sever...
In the social sciences, researchers search for information on the Web, b...
The information needs of social science researchers are manifold and alm...
As the availability and the inter-connectivity of RDF datasets grow, so ...
In Interactive Information Retrieval (IIR) experiments the user's gaze m...
The usefulness evaluation model proposed by Cole et al. in 2009 [2] focu...
Two key, but usually ignored, issues for the evaluation of methods of
pe...
Models in Interactive Information Retrieval (IIR) are grounded very much...
Within a search session users often apply different search terms, as wel...
In Interactive Information Retrieval (IIR) different services such as se...
The social sciences are a broad research field with a lot of sub- and re...
When users are looking for information on the Web, they show different
b...
In this paper we present our web application SeRE designed to explore
se...