Search results

In vol. 6, 1976, of Advances in Librarianship, I published a review about relevance under the same title, without, of course, “Part I” in the title (Saracevic, 1976). [A substantively similar article was published in the Journal of the American Society for Information Science (Saracevic, 1975)]. I did not plan then to have another related review 30 years later—but things happen. The 1976 work “attempted to trace the evolution of thinking on relevance, a key notion in information science, [and] to provide a framework within which the widely dissonant ideas on relevance might be interpreted and related to one another” (ibid.: 338).

An educator’s goal is to create experiences that provide students with opportunities to learn. This goal is the same whether the opportunities are presented face-to-face, fully online or hybrid formats in both formal and informal educational settings. All of the examples presented in this chapter come from experiences in a R1 university, however, the information presented is just as valid in any educational setting. For more than a decade, the authors have used knowledge checking to help students test their understanding of the content whether it is using clickers in large-enrollment lectures or embedding questions directly into the course content online. Knowledge-checks and other types of low-stakes quizzing are examples of a learning strategy called retrieval practice. This chapter briefly reviews the rich history of retrieval practice and what the research says about it, mainly that students benefit when they take time as they learn to practice retrieving stored information (Roediger & Butler, 2011). Examples from current courses as well as a fictional case study illustrate how retrieval practice can be used in online courses to keep students engaged and give them opportunities to practice retrieving information that they have learned.

Good pedagogy is good pedagogy whether being taught in a traditional brick and mortar building, fully online using a course management system or leveraging the best of both formats using a hybrid model. Retrieval practice is an example of this. In this chapter, the authors will provide a brief history and literature review on retrieval practice. Following our literature review, the authors provide examples of how different retrieval practice options have been incorporated into the online courses they design at Penn State, as well as a case example of a course redesigned with retrieval practice in mind.

Purpose — The overall quality of an information retrieval system depends on many different aspects of the system and its users' information seeking behaviour, such as the speed of the system, the user interface, the query language and the features provided by the engine. One of the most important aspects is the effectiveness of the retrieval system, i.e. its ability to retrieve items that are relevant to the information need of an end user. This chapter focuses on methods for measuring effectiveness, in particular focusing on recent work that more directly models the utility of an engine to its users.

Methodology/approach — We discuss traditional approaches to effectiveness evaluation based on test collections, then transition to approaches based on test collections along with explicit models of user interaction with search results. We contrast this with approaches for which the user is ‘in the loop’, such as user studies and online evaluations.

Research limitations/implications — If it were possible to model users perfectly, we could directly estimate the utility of a search engine to its users; this would undoubtedly have a transformative effect on information retrieval and web search research. In practice, this goal will never be achievable because users exhibit far too much variability in how they approach the search engine, and furthermore provide valuable feedback that models and simulations cannot provide. Nevertheless, better models of user interaction will help develop better web search engines for a wider variety of tasks more rapidly.

Originality/value of paper — This is the first work that surveys recent work on user model-based evaluation and places it in a context with traditional evaluation based on the Cranfield paradigm.

Collaboration is often required for activities that are too complex or difficult to be dealt with by a single individual. Many situations requiring information-seeking activities also call for people to work together. Often the methods, systems, and tools that provide access to information assume that they are used only by individuals working on their tasks alone. This review points to the need to acknowledge the importance of collaboration in information-seeking processes, to study models, and to develop systems that are specifically designed to enable collaborative information seeking (CIS) tasks. This chapter reviews the literature from various domains including library and information science, human–computer interaction, collaborative systems, and information retrieval. Focus of the review is on the extent to which people work together on information seeking tasks and the systems and tools that are available for them to be successful. Since CIS occurs in the broader context of collaboration in general, a review of literature about collaborations is first undertaken to define it and place it into context with related terms such as cooperation and communication. A more focused review of research follows relating CIS to systems that have attempted to support such interactions. Included are identification and synthesis of a number of core issues in the field and how best to evaluate systems and collaborative tools. Key lessons learned from the review are summarized, and gaps in the literature identified to spur future research and study.

Purpose – The purpose of the chapter is to provide an analytical overview of information research in the United Kingdom and of the role of the Research Assessment Exercises (RAE) in shaping the form and structure of that research.

Design/methodology/approach – The approach adopted is a detailed content analysis of the submissions made to the last UK RAE. This analysis is carried out in relation to four broad subject categorisations, and specific analysis of accounts of research carried out in the departments and research groups.

Findings – The RAE have played a key role in promoting research specialisms in library and information studies (LIS) research in the United Kingdom. The former general approach to research in information studies has been replaced by more focused research activities carried out in a variety of research groups spread across a diverse range of disciplines and departments, from LIS, to business and management, information systems, and computing and engineering.

Research implications – The prospects for general LIS research departments may be increasingly limited, as research becomes concentrated in sub-groups within larger organisational structures, subverting both departmental lines and conventional subject boundaries.

Originality/value – This overview provides a novel synthesis of information research in the United Kingdom in relation to four broad categories of research in information studies and information science, information management and social informatics, information systems and information interaction, and social computing and computational informatics. The account brings together a fragmented field of research in a compact and intelligible form.

In recent years, aceted search has been a well-accepted approach for many academic libraries across the United States. This chapter is based on the author’s dissertation and work of many years on faceted library catalogs. Not to hope to be exhaustive, the author’s aim is to provide sufficient depth and breadth to offer a useful resource to researchers, librarians, and practitioners about faceted search used in library catalogs.

The chapter reviews different aspects of faceted search used in academic libraries, from the theory, the history, to the implementation. It starts with the history of online public access catalogs (OPACs) and how people search with OPACs. Then it introduces the classic facet theory and its relationship with faceted search. At last, various academic research projects on faceted search, especially faceted library catalogs, are briefly reviewed. These projects include both implementation studies and the evaluation studies.

The results indicate that most searchers were able to understand the concept of facets naturally and easily. Compared to text searches, however, faceted searches were complementary and supplemental, and used only by a small group of searchers.

The author hopes that the facet feature has not only been cosmetic but the answer to the call for the next generation catalog for academic libraries. The results of this research are intended to inform librarians and library information technology (IT) staff to improve the effectiveness of the catalogs to help people find information they need more efficiently.

Originally grounded in library and information science, the majority of information behaviour and information-seeking theories focus on task-based scenarios where users try to resolve information needs. While other theories exist, such as how people unexpectedly encounter information, for example, they are typically related back to tasks, motivated by work or personal goals. This chapter, however, focuses on casual-leisure scenarios that are typically motivated by hedonistic needs rather than information needs, where people engage in searching behaviours for pleasure rather than to find information. This chapter describes two studies on (1) television information behaviour and (2) the casual information behaviours described by users of Twitter. The first study focuses on a specific casual-leisure domain that is familiar to many, while the second indicates that our findings generalise to many other casual-leisure scenarios. The results of these two studies are then used to define an initial model of casual-leisure information behaviour, which highlights the key differences between casual-leisure scenarios and typical information behaviour theory. The chapter concludes by discussing how this new model of casual-leisure information behaviour challenges the way we design information systems, measure their value and consequently evaluate their support for users.

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.