Six articles about evaluating information retrieval (IR) systems and methods are briefly described in this introduction to a special issue and some of the major problems that are encountered in evaluating interactive information retrieval are considered. (two references) (LAE)

Summarizes the best known methods of using the signature file access method as a storage structure in information retrieval in nonbusiness applications of multimedia data. The relationships between application area, type of data, and signature file organization are emphasized. Results are summarized in a selection guide. (Contains 26 references.)…

Discussion of relevance and the needs of the users in information retrieval focuses on a deductive object-oriented approach and suggests eight inference rules for the deduction. Highlights include characteristics of a deductive object-oriented system, database and data modeling language, implementation, and user interface. (Contains 24…

Investigates document ranking methods in thesaurus-based Boolean information retrieval systems and proposes a new thesaurus-based ranking algorithm called the Extended Relevance algorithm. Performance comparisons are made between the Extended Relevance algorithm and previous thesaurus-based ranking algorithms. (Contains 20 references.) (LRW)

Describes a study that tested the effectiveness of a thesaurus as a search-aid in free text searching of a Finnish full text database. Linguistic and conceptual approaches are discussed; five search modes are explained; recall and precision are examined; and the use of proximity operators is discussed. (Contains 29 references.) (LRW)

Examines research on the observed values of retrieval effectiveness obtained in searches of files of nearest neighbor document clusters. Results show interdocument similarities used to generate nearest-neighbor clusters are significantly different from randomly generated clusters. (Contains 14 references.) (EAM)

Summarizes studies of pseudoclassification, a process of utilizing user relevance assessments of certain documents with respect to certain queries to build term classes designed to retrieve relevant documents. Conclusions are reached concerning the effectiveness and feasibility of constructing term classifications based on human relevance…

Discusses the interpretation of nominal compounds in the context of natural language processing for information retrieval. Knowledge-intensive algorithms that can successfully interpret compounds found in technical documents are described, and experiments are reported that indicate these algorithms may be unnecessary for improving retrieval…

Discusses the overlap of research in artificial intelligence and information retrieval, focusing on the papers included in this special issue of Information Processing and Management. Highlights include the emphasis on evaluation and testing in prior research and use of manual and automatic indexing, expert systems, knowledge representation, and…

Reports information retrieval experiments comparing the performance of a probabilistic retrieval model that incorporates interdocument links with the simpler spreading activation strategy. Results indicated that the overall improvement obtained by including hypertext links in the retrieval model was low. (30 references) (EA)

The current state of information retrieval (IR) evaluation is reviewed with criticisms directed at the available test collections and the research and evaluation methodologies used, including precision and recall rates for online searches and laboratory tests not including real users. Automatic text retrieval systems are also discussed. (32…

Various methods for calculating and presenting results of information retrieval (IR) evaluation research are discussed, with illustrations from recent laboratory results. Highlights include measures for calculating recall and precision, user needs for high or low level of recall, and comparisons of Boolean and ranked output retrieval. (22…

Discusses approaches to the integration of query-based information retrieval and browsing in a hypertext network. A prototype system developed to evaluate the proposed approach in terms of retrieval effectiveness and search efficiency is presented, and design and implementation issues concerning the prototype are considered. (30 references) (EA)

Discusses two models of selecting information sources--Cost/Benefit (information seekers select sources on basis of expected benefits and costs), and Least-Effort (seekers select sources on basis of minimizing effort or cost). Results of a study proposing that users place different weights on costs and benefits are presented. (EJS)

Provides an overview of research on individual user differences and relevance in information retrieval. An experiment with a two-stage information retrieval system, using a topical set of document representations produced by a Boolean search and a citation profile is described. Implications for information retrieval are explored. (Contains 32…