The data overload problem and the specific nature of the experts' knowledge can hinder
many users from finding experts with the expertise they required. There are several expert …

Cold-start problems are long-standing challenges for practical recommendations. Most
existing recommendation algorithms rely on extensive observed data and are brittle to …

Although personality traits may influence information-seeking behavior, little is known about
this topic. This study explored the impact of the Big Five personality traits on human online …

Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …

User engagement has become an important outcome measure in interactive information
retrieval (IIR) research, as commercial (eg, search engines and e-commerce companies) …

There is increasing interest in topics at the nexus of collaboration and information behavior.
A variety of studies conducted in organizational settings have provided us with key insights …

User query is an element that specifies an information need, but it is not the only one.
Studies in literature have found many contextual factors that strongly influence the …

The present study addressed the age-related differences in query production and
information searching performance when interacting with a search engine. To this end, 20 …

This article introduces a type of uncertainty that resides in textual information and requires
epistemic interpretation on the information seeker's part. Epistemic modality, as defined in …

Context is one of the most important concepts in information seeking and retrieval research.
However, the challenges of studying context are great; thus, it is more common for …