Healthcare is a knowledge intensive process, which requires large amount of information
from various healthcare knowledge providers. However, this growing information makes …

This monograph reviews research on the design and evaluation of search user interfaces
that has been published within the past 10 years. Our primary goal is to integrate state-of-the …

We researchers have taken searching for information for granted for far too long. The COVID‐
19 pandemic shows us the boundaries of academic searching capabilities, both in terms of …

In this perspectives paper we define knowledge-context as meta information that searchers
use when making sense of information displayed in and accessible from a search engine …

While continuous active learning algorithms have proven effective in finding most of the
relevant documents in a collection, the cost for locating the last few remains high for …

Current information retrieval (IR) systems still face plenty of challenges when applied in
addressing complex search tasks (CSTs) that trigger multi-round search iterations. Existing …

Recommender systems can support everyday digital tasks by retrieving and recommending
useful information contextually. This is becoming increasingly relevant in services and …

We present GenEx, a generative model to explain search results to users beyond just
showing matches between query and document words. Adding GenEx explanations to …

While the search interfaces used by common academic digital libraries provide easy access
to a wealth of peer‐reviewed literature, their interfaces provide little support for exploratory …

Collaborative filtering is a common technique in which interaction data from a large number
of users are used to recommend items to an individual that the individual may prefer but has …