With the growth of digital media, learners are presented with multiple options to choose from when looking for resources to learn from. Learning that happens during searching for items to learn from is called Search-as-Learning (SaL). Recommender Systems (RS) can aid in SaL by reducing information overload and providing item suggestions. An…

The information-seeking behavior has proven vital in understanding people's search behavior while seeking information about a particular topic or field. However, in some geographical regions, studies that focus on information-seeking behavior are few, specifically studying Arabic users' information-seeking behavior. A handful of studies…

We study relevance judgment and user activities in a search session. We focus on ephemeral relevance--a contextual measurement regarding the amount of useful information a searcher acquired from a clicked result at a particular time--and two primary types of search activities--query reformulation and click. The purpose of the study is both…

The overwhelming amount of information available today makes it difficult for users to find useful information and as the solution to this information glut problem, recommendation technologies emerged. Among the several streams of related research, one important evolution in technology is to generate recommendations based on users' own social…

This study aims to investigate users' search tactic application and system support in using digital libraries. A user study was conducted with sixty digital library users. The study was designed to answer three research questions: 1) How do users engage in a search process by applying different types of search tactics while conducting different…

With the advent of the Web, the notion of "information retrieval" has acquired a completely new connotation and currently encompasses several disciplines ranging from traditional forms of text and data retrieval in unstructured and structured repositories to retrieval of static and dynamic information from the contents of the surface and deep Web.…