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Rodriguez-Munoz, Jose-Vicente; Martinez-Mendez, Francisco-Javier; Pastor-Sanchez, Juan-Antonio – Information Research: An International Electronic Journal, 2012
Introduction: This paper presents an initial proposal for a formal framework that, by studying the metric variables involved in information retrieval, can establish the sequence of events involved and how to perform it. Method: A systematic approach from the equations of Shannon and Weaver to establish the decidability of information retrieval…
Descriptors: Information Retrieval, Information Systems, Holistic Approach, Models
Yang, Peilin – ProQuest LLC, 2017
Information Retrieval (IR) is one of the most evolving research fields and has drawn extensive attention in recent years. Because of its empirical nature, the advance of the IR field is closely related to the development of various toolkits. While the traditional IR toolkit mainly provides a platform to evaluate the effectiveness of retrieval…
Descriptors: Information Retrieval, Research Tools, Educational Resources, Computer Uses in Education
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Oroszlányová, Melinda; Lopes, Carla Teixeira; Nunes, Sérgio; Ribeiro, Cristina – Information Research: An International Electronic Journal, 2018
Introduction: The concept and study of relevance has been a central subject in information science. Although research in information retrieval has been focused on topical relevance, other kinds of relevance are also important and justify further study. Motivational relevance is typically inferred by criteria such as user satisfaction and success.…
Descriptors: Information Retrieval, Users (Information), Predictor Variables, Success
Yan, Yilin – ProQuest LLC, 2018
The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…
Descriptors: Information Science, Information Retrieval, Multimedia Materials, Data
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Budd, John M.; Anstaett, Ashley – Information Research: An International Electronic Journal, 2013
Introduction: Research and theory on the topics of information seeking and retrieval have been plagued by some fundamental problems for several decades. Many of the difficulties spring from mechanistic and instrumental thinking and modelling. Method: Existing models of information retrieval and information seeking are examined for efficacy in a…
Descriptors: Information Seeking, Information Retrieval, Models, Cognitive Processes
Sampathkumar, Hariprasad – ProQuest LLC, 2016
Information used to assist biomedical and clinical research has largely comprised of data available in published sources like scientific papers and journals, or in clinical sources like patient health records, lab reports and discharge summaries. Information from such sources, though extensive and organized, is often not readily available due to…
Descriptors: Information Retrieval, Models, Discovery Processes, Discussion Groups
Ture, Ferhan – ProQuest LLC, 2013
With the adoption of web services in daily life, people have access to tremendous amounts of information, beyond any human's reading and comprehension capabilities. As a result, search technologies have become a fundamental tool for accessing information. Furthermore, the web contains information in multiple languages, introducing another barrier…
Descriptors: Translation, Second Languages, Written Language, Computational Linguistics
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Dominich, Sandor – Information Processing & Management, 2003
Discussion of connectionist views for adaptive clustering in information retrieval focuses on a connectionist clustering technique and activation spreading-based information retrieval model using the interaction information retrieval method. Presents theoretical as well as simulation results as regards computational complexity and includes…
Descriptors: Computation, Evaluation Methods, Information Retrieval, Interaction
Holman, Lucy – ProQuest LLC, 2009
This qualitative study examines first-year college students' online search habits in order to identify patterns in millennials' mental models of information retrieval. The study employed a combination of modified contextual inquiry and concept mapping methodologies to elicit students' mental models. The researcher confirmed previously observed…
Descriptors: Concept Mapping, Online Searching, Search Strategies, Internet
Liu, Chang – ProQuest LLC, 2012
When using information retrieval (IR) systems, users often pose short and ambiguous query terms. It is critical for IR systems to obtain more accurate representation of users' information need, their document preferences, and the context they are working in, and then incorporate them into the design of the systems to tailor retrieval to…
Descriptors: Information Retrieval, Models, Interaction, Online Searching
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Kol, Sheli; Nir, Bracha; Wintner, Shuly – Journal of Child Language, 2014
Several models of language acquisition have emerged in recent years that rely on computational algorithms for simulation and evaluation. Computational models are formal and precise, and can thus provide mathematically well-motivated insights into the process of language acquisition. Such models are amenable to robust computational evaluation,…
Descriptors: Language Acquisition, Models, Computational Linguistics, Evaluation Methods
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Gray, Stephen J.; Gallo, David A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
People can use a content-specific recapitulation strategy to trigger memories (i.e., mentally reinstating encoding conditions), but how people deploy this strategy is unclear. Is recapitulation naturally used to guide all recollection attempts, or is it only used selectively, after retrieving incomplete information that requires additional…
Descriptors: Recall (Psychology), Memory, Models, Familiarity
Huang, Jia – ProQuest LLC, 2014
Information retrieval (IR) systems have tremendously broaden users' access to information. However, users need to select their needs from trillions of information indexed daily. Due to the "semantic gap" between queries and indexed terms in IR system, whether users can satisfy their needs depends on whether they use the correct terms as…
Descriptors: Information Retrieval, Information Needs, Documentation, Information Systems
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Dominich, Sandor – Journal of the American Society for Information Science, 2000
Presents a unified mathematical definition for the classical models of information retrieval and identifies a mathematical structure behind relevance feedback. Highlights include vector information retrieval; probabilistic information retrieval; and similarity information retrieval. (Contains 118 references.) (Author/LRW)
Descriptors: Information Retrieval, Mathematical Formulas, Models, Relevance (Information Retrieval)
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Elayeb, Bilel; Evrard, Fabrice; Zaghdoud, Montaceur; Ahmed, Mohamed Ben – Interactive Technology and Smart Education, 2009
Purpose: The purpose of this paper is to make a scientific contribution to web information retrieval (IR). Design/methodology/approach: A multiagent system for web IR is proposed based on new technologies: Hierarchical Small-Worlds (HSW) and Possibilistic Networks (PN). This system is based on a possibilistic qualitative approach which extends the…
Descriptors: Information Retrieval, Models, College Students, Internet
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