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People often engage in different information-seeking strategies (ISSs) within a single information-seeking episode. A critical concern for the design of information retrieval (IR) systems is how to provide support for these different behaviors in a manner which searchers can easily understand, navigate and use, as they move from one ISS to another. The purpose of this paper is to describe a dialogue structure that was implemented in an experimental IR system, in order to address this concern.

The authors conducted a user-centered experiment to evaluate the IR systems. Participants were asked to search for information on two different task types, with four different topics per task, in both the experimental system and a baseline system emulating state-of-the-art IR systems. The authors report here the results related explicitly to the use of the experimental system's dialogue structure.

For one of the task types, most participants followed the search steps as predicted in the dialogue structures, and those who did so completed the task in fewer moves. For the other task type, predicted order of moves was often not followed, but participants again used fewer moves when following the predicted order. Results demonstrate that the dialogue structures the authors designed indeed support effective human information behavior patterns in a variety of ways, and that searchers can effectively use a system which changes to support different ISSs.

This study shows that it is both possible and beneficial, to design an IR system which can support multiple ISSs, and that such a system can be understood and used successfully.

A discourse analysis of the cognitive viewpoint in library and information science identifies seven discursive strategies which constitute information as a commodity, and persons as surveyable information consumers, within market economy conditions. These strategies are: (a) universality of theory, (b) referentiality and reification of ‘images’, (c) internalisation of representations, (d) radical individualism and erasure of the social dimension of theory, (e) insistence upon knowledge, (f) constitution of the information scientist as an expert in image negotiation, and (g) instrumental reason, ruled by efficiency, standardisation, predictability, and determination of effects. The discourse is guided throughout by a yearning for natural‐scientific theory. The effect of the cognitive viewpoint's discursive strategy is to enable knowledge acquisition of information processes only when users' and generators' ‘images’ are constituted as objectively given natural‐scientific entities, and to disable knowledge of the same processes when considered as products of social practices. By its constitution of users as free creators of images, of the information scientist as an expert in image interpretation and delivery, and of databases as repositories of unmediated models of the world, the cognitive viewpoint performs ideological labour for modern capitalist image markets.

The purpose of this article is to present an overview of the history and development of transaction log analysis (TLA) in library and information science research. Organizing a literature review of the first twenty‐five years of TLA poses some challenges and requires some decisions. The primary organizing principle could be a strict chronology of the published research, the research questions addressed, the automated information retrieval (IR) systems that generated the data, the results gained, or even the researchers themselves. The group of active transaction log analyzers remains fairly small in number, and researchers who use transaction logs tend to use this method more than once, so tracing the development and refinement of individuals' uses of the methodology could provide insight into the progress of the method as a whole. For example, if we examine how researchers like W. David Penniman, John Tolle, Christine Borgman, Ray Larson, and Micheline Hancock‐Beaulieu have modified their own understandings and applications of the method over time, we may get an accurate sense of the development of all applications.

This article presents a theoretical investigation of the concept of ‘subject’ or ‘subject matter’ in library and information science. Most conceptions of ‘subject’ in the literature are not explicit but implicit. Various indexing and classification theories, including automatic indexing and citation indexing, have their own more or less implicit concepts of subject. This fact puts the emphasis on making the implicit theories of ‘subject matter’ explicit as the first step. A very close connection exists between what subjects are, and how we are to know them. Those researchers who place the subjects in the minds of the users have a conception of ‘subject’ different to that possessed by those who regard the subject as a fixed property of the documents. The key to the definition of the concept of ‘subject’ lies in the epistemological investigation of how we are going to know what we need to know about documents in order to describe them in a way which facilitates information retrieval. The second step therefore is an analysis of the implicit epistemological conceptions in the major existing conceptions of ‘subject’. The different conceptions of ‘subject’ can therefore be classified into epistemological positions, e.g. ‘subjective idealism’ (or the empiric/positivistic viewpoint), ‘objective idealism’ (the rationalistic viewpoint), ‘pragmatism’ and ‘materialism/ realism’. The third and final step is to propose a new theory of subject matter based on an explicit theory of knowledge. In this article this is done from the point of view of a realistic/materialistic epistemology. From this standpoint the subject of a document is defined as the epistemological potentials of that document.

The ability to conduct unobtrusive observation of user searching is a potential strength of the method of information retrieval system analysis known as transaction log analysis (TLA). Transaction logs supply unequivocal information about what a user typed while searching. All other methods rely on self‐reporting, which, as Nielsen points out, is not always corroborated by the logs. Regardless of where in an institution information retrieval (IR) system evaluation takes place, TLA is a method that enables library staff at all levels to examine a variety of system and user‐related activities that are recorded on the log. Dominick suggested that TLA can enable the examination of three broad categories of activity: 1) system performance and resource utilization, 2) information retrieval performance, and 3) user interaction with the IR system. This article has been divided into several sections corresponding to functional areas in a library to suggest useful applications of TLA.

This article examines the structure and components of information storage and retrieval systems and information filtering systems. Analysis of the tasks performed in such selection systems leads to the identification of 13 components. Eight are necessarily present in all such systems, mechanized or not; the others may, but need not be, present. The authors argue that all selection systems can be represented in terms of combinations of these components. The components are of only two types: representations of data objects and functions that operate on them. Further, the functional components, or rules, reduce to two basic types: 1) transformation, making or modifying the members of a set of representations, and 2) sorting or partitioning. The representational transformations may be in the form of copies, excerpts, descriptions, abstractions, or mere identifying references. By partitioning, we mean dividing a set of objects by using matching, sorting, ranking, selecting, and other logically equivalent operations. The typical multiplicity of knowledge sources and of system vocabularies is noted. Some of the implications for the study, use, and design of information storage and retrieval systems are discussed.