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Notess, Greg R. – Online, 2000
Discusses relevance in search engines for the World Wide Web. Highlights include types of searches submitted; database scope; how organizations position their Web sites; link analysis; spelling errors; offering alternatives to queries; and the single-answer approach. (LRW)
Descriptors: Databases, Information Retrieval, Relevance (Information Retrieval), Search Strategies
Peer reviewedDiaz, Irene; Morato, Jorge; Llorens, Juan – Journal of the American Society for Information Science and Technology, 2002
Presents a new stemming algorithm based on tree structures that improves relevance in information retrieval by conflation, grouping similar words into a single term. Highlights include the normalization process used in automatic thesaurus construction; theoretical aspects; the normalization algorithm; and experiments with English and Spanish. (LRW)
Descriptors: Algorithms, Information Retrieval, Relevance (Information Retrieval), Spanish
Kirui, Paul A.; Mutai, Sheila J. – African Higher Education Review, 2010
Web mining is emerging in many aspects of e-learning, aiming at improving online learning and teaching processes and making them more transparent and effective. Researchers using Web mining tools and techniques are challenged to learn more about the online students' reshaping online courses and educational websites, and create tools for…
Descriptors: Web Based Instruction, Educational Technology, Technology Uses in Education, Case Studies
Hlavaty, Greg; Townsend, Murphy – Teaching English in the Two-Year College, 2010
Modern composition instructors often use and teach research methods for Internet search engines and electronic databases. It is not their intent to turn back the clock. However, if they can help students connect the world of Internet searches and the university library, they can promote information literacy in its broadest sense by developing…
Descriptors: Higher Education, College Freshmen, School Orientation, Writing (Composition)
Kwan, Matthew Yiu Wing; Arbour-Nicitopoulos, Kelly P.; Lowe, David; Taman, Sara; Faulkner, Guy E. J. – Journal of American College Health, 2010
Objective: The purpose of this study was to identify the health topics students received information about, how students obtained health-related information, and perceived believability of those sources. Participants and Methods: Students (N = 1202) were surveyed using the National College Health Assessment (NCHA) of the American College Health…
Descriptors: Health Education, Credibility, Higher Education, Health Services
Gasevic, Dragan; Jovanovic, Jelena; Devedzic, Vladan – Interactive Learning Environments, 2007
The paper proposes a framework for building ontology-aware learning object (LO) content. Previously ontologies were exclusively employed for enriching LOs' metadata. Although such an approach is useful, as it improves retrieval of relevant LOs from LO repositories, it does not enable one to reuse components of a LO, nor to incorporate an explicit…
Descriptors: Semantics, Instructional Design, Information Retrieval, Metadata
Noruzi, Alireza – Journal of Academic Librarianship, 2007
The HTML title tag information should identify and describe exactly what a Web page contains. This paper analyzes the "Title element" and raises a significant question: "Why is the title tag important?" Search engines base search results and page rankings on certain criteria. Among the most important criteria is the presence of the search keywords…
Descriptors: Web Sites, Metadata, Search Engines, Information Retrieval
Bookstein, Abraham – 1982
Recently considerable attention has been given in the online information retrieval literature to techniques for producing a weighted output of documents in response to a request. One approach tries to maintain the form of and relationships among requests as they appear in current Boolean logic-based systems, while extending it to permit a weighted…
Descriptors: Check Lists, Information Retrieval, Online Systems, Probability
Peer reviewedVan Rijsbergen, C. J.; Croft, W. B. – Information Processing and Management, 1975
The single-link cluster method is used to construct a hierarchic classification for the 1400 documents in the Cranfield test collection. A variety of retrieval strategies applied to this hierarchy are evaluated in terms of effectiveness and efficiency. (Author)
Descriptors: Classification, Cluster Grouping, Efficiency, Information Retrieval
Peer reviewedVan Rijsbergen, C. J. – Journal of Documentation, 1974
The mathematical theory of measurement is used to construct a framework for the evaluation of information retrieval strategies. (Author)
Descriptors: Evaluation Methods, Information Retrieval, Mathematical Models, Measurement
van Rijsbergen, C. J. – Information Storage and Retrieval, 1974
Reports the results of experiments in document clustering using three well-known test collections. (Author)
Descriptors: Classification, Cluster Grouping, Evaluation Methods, Information Retrieval
Standera, Oldrich – 1970
This report evaluates the engineering information services provided by the University of Calgary since implementation of the COMPENDEX (tape service of Engineering Index, Inc.) service using the IBM TEXT-PAC system. Evaluation was made by a survey of the users of the Current Information Selection (CIS) service, the interaction between the system…
Descriptors: Costs, Information Centers, Information Retrieval, Information Science
Westat Research, Inc., Rockville, MD. – 1968
Some extensions of the methodology of document retrieval system evaluation are presented in this report. Part I provides an overview of some of the milepost studies in evaluation. Part II presents in some detail a discussion of measurement from a nonconventional viewpoint, including such topics as why measure at all, what measures are appropriate…
Descriptors: Documentation, Evaluation Methods, Information Retrieval, Measurement
Chang, Yean--Hsi – 1970
A relational document retrieval system is developed that is primarily concerned with hierarchic tree structures and lateral links. The lateral linkages are relationships that cannot be represented within the tree structure representation. A number of annotated examples are given along with a detailed description of the relational data structure…
Descriptors: Databases, Information Retrieval, Information Systems, Programing Languages
Keen, E. Michael – UNESCO Bulletin for Libraries, 1976
Five abstracts journals and one indexing service in the field of library and information science were compared for the efficacy of their subject retrieval performance. (Author)
Descriptors: Abstracting, Indexes, Indexing, Information Retrieval

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