Faceted Search Systems (FSSs) have gained prominence as one of the dominant search
approaches in vertical search systems. They provide facets to educate users about the …

We present ReGroup, a novel end-user interactive machine learning system for hel**
people create custom, on demand groups in online social networks. As a person adds …

The amounts of available Semantic Web (SW) data (including Linked Open Data) constantly
increases. Users would like to browse and explore effectively such information spaces …

Faceted Search is an exploratory search mechanism, which provides an iterative way to
refine search results by a faceted taxonomy. With the benefit of search results diversification …

End-user interactive machine learning is a promising tool for enhancing human capabilities
with large data. Recent work has shown that we can create end-user interactive machine …

In modern society, the increasing number of web search operations on various search
engines has become ubiquitous due to the significant number of results presented to the …

Representation learning has always played an important role in information retrieval (IR)
systems. Most retrieval models, including recent neural approaches, use representations to …

Web search queries can often be characterized by various facets. Extracting and generating
query facets has various real-world applications, such as displaying facets to users in a …

Faceted search helps users by offering drill-down options as a complement to the keyword
input box, and it has been used successfully for many vertical applications, including e …

Learning multiple intent representations for queries has potential applications in facet
generation, document ranking, search result diversification, and search explanation. The …