Information monitoring and keeping abreast of research trends is essential for researchers. However, as the volume of information and the number of tools for staying up to date continue to grow, researchers struggle to continuously monitor and filter scholarly articles. This is particularly true for researchers working in complex multidisciplinary…

Aims: This article analyzes the digital childhood vaccination information network for vaccine-hesitant parents. The goal of this study was to explore the structure and influence of vaccine-hesitant content online by generating a database and network analysis of vaccine-relevant content. Method: We used Media Cloud, a searchable big-data platform…

Introduction. This paper deals with the impact of contextual features, such as sex, age, mother tongue, health status, health literacy, Internet use experience, and frequency of health information seeking on health information searching. Method. An interactive information retrieval approach was used to study users' searching behaviour. An online…

In Web search, query and click log data are easy to collect but they fail to capture user behaviors that do not lead to clicks. As search engines reach the limits inherent in click data and are hungry for more data in a competitive environment, mining cursor movements, hovering, and scrolling becomes important. This dissertation investigates how…

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 dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about…

The year 2011 was the PALNI (Private Academic Library Network of Indiana) consortium's "rookie season" for the implementation of Primo, the 2010 Discovery Layer 500 race winner. In this article, the authors report on their transition to the cloud within Ex Libris Ltd.'s Primo TotalCare environment: their preparation, the steps involved…

Background/Context: A thorough understanding of the information-seeking behaviors of specific disciplines, as well as distinct user groups within a discipline, is fundamental to the process of development of disciplinary informatics. Significant research has been conducted, largely by library and information science scholars across a range of…

As individuals become more and more comfortable mediating all kinds of situations online and through various technologies, their virtual selves increasingly overlap their "real" lives. Posting a "happy birthday!" message on Facebook is as automatic as dropping a card in the mail. E-mailing relevant links to co-workers happens as naturally as…

Introduces the basic ideas that underpin applications of machine learning to information retrieval. Describes applications of machine learning to text categorization. Considers how machine learning can be applied to the query-formulation process. Examines methods of document filtering, where the user specifies a query that is to be applied to an…

Introduces navigation as a central concept for information retrieval and for information systems in general. The evolution of information systems is described; navigability as an aid to improve relevance is discussed; and a system under development that attempts to facilitate navigation for information retrieval is described. (31 references) (LRW)

Compares results of two empirical studies in which relevance criteria were elicited from individuals seeking information to resolve information problems. Results provide evidence that a finite range of criteria exists and that these criteria are applied consistently across types of information users, problem situations, and source environments.…

This study of an individual information user with a real information problem examined the relevance judgment process using bibliographic records and full-text documents. Results provide a basis for understanding the judgment process in information searching. Deselection of items and the associated application of judgment criteria provide insight…

Discusses results from recent relevance research with implications for information professionals. The studies show that beyond the usual concern with high relevance and non-relevance judgments, partially relevant judgments by users are important. Calls for the adoption of a more complex view of human relevance judgments in the education and…

Analyzes how students' growing understanding of the topic and search experience were related to their choice of search tactics and terms while preparing a research proposal for a small empirical study. In addition, findings are used to test Vakkari's (2001) theory of task-based information retrieval. (Author/AEF)