My dissertation contains three studies centering on the question: how to motivate people to share high quality information on online information aggregation systems, also known as social computing systems? I take a social scientific approach to "identify" the strategic behavior of individuals in information systems, and "analyze" how non-monetary…

The simulation model described is used as a tool for designing and evaluating literature search systems. The simulation program creates a well specified collection of documents and analyzes the effect of charges in query file characteristics on system output performance. (14 references) (Author/KE)

Considers a study of two models of name/title-derived search keys in a large online library network. Results predicted by the models are compared with results obtained from actual retrieval behavior of keys entered by users of the system. (FM)

Two statistical models for estimating search time have been developed for the CA Condensates data base using the University of Georgia Text Search System. Comparative timings between the Chemical Abstracts Service search program and the University of Georgia search program are made for the Ca Condensates data base. (5 references) (Author/NH)

Examines various ways of dividing the labor of an information search between the person and the system. Different configurations of two dimensions--degree of system involvement in searching and types of search activity carried out by the person or system--are discussed. Recommendations for further research and development are offered. (49…

Develops a mathematical model for fitting the retrieval runs in the TREC-6 (Sixth Text REtrieval Conference) ad hoc retrieval exercise to explore how the depth of the pool of relevance judgments made for each run affects performance scores. Concurs that even on the basis of analyses of individual systems, the pool depth of 100 used by TREC is…

Analyzes the search process, isolating the pertinent elements that make up a search and identifying the many decision points in the process. (Author/PF)

Discusses problems facing naive users of interactive information systems (IIS) that have been identified through classroom research. Impediments to successful use of IIS are students' inability to make use of non-text-based information sources and difficulty choosing appropriate search strategies. Mental models developed by users may provide clues…

The purpose of this study was to provide some preliminary data about the information-searching behavior of the physician in order to (1) facilitate the development of models describing the search behavior and (2) provide the behavioral data necessary for the development of effective information retrieval systems for use by the medical profession.…

The Hepatitis Knowledge Base (text of prototype information system) was used for modifying and testing "A Navigator of Natural Language Organized (Textual) Data" (ANNOD), a retrieval system which combines probabilistic, linguistic, and empirical means to rank individual paragraphs of full text for similarity to natural language queries…

Presents information retrieval design approach in which queries of computer-based system consist of sets of terms, either unweighted or weighted with subjective term precision estimates, and retrieval outputs ranked by probability of usefulness estimated by "maximum entropy principle." Boolean and weighted request systems are discussed.…

Based on an international workshop held at Rutgers University, this article discusses problems and issues in the design, research, and implementation of distributed expert-based information systems (DEBIS). Information needs of end users are stressed, architectures for expert information retrieval systems are explored, and prototype models are…

Explores the utility of using prior domain knowledge (in the form of taxonomies over attributes, attribute values and concept classes) to constrain the rule learner's search by requiring it to be consistent with what is already known about the domain. Spreading Activation Learning (SAL) is used to efficiently learn over taxonomically structured…

The Drug-Interface, prototype system built to facilitate retrieval of drug related information, automatically connects to DIALOG Information Retrieval Service via available networks, aids user in formulating and/or revising search strategy, sends query to DIALOG, displays results of search, and downloads relevant pieces into Macintosh data file.…

MINDS (Multiple Intelligent Node Document Servers) is a distributed system of knowledge-based query engines for efficiently retrieving multimedia documents in an office environment of distributed workstations. By learning document distribution patterns and user interests and preferences during system usage, it customizes document retrievals for…