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Zhiyong Qiu; Yingjin Cui – SAGE Open, 2024
Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…
Descriptors: College Students, Independent Study, Self Control, Library Materials
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Oard, Douglas W.; Resnik, Philip – Information Processing & Management, 1999
In systems that support query-based searching, the presence of multilingual content affects the search technology and user interface components that support query formulation, document selection, and query refinement. A categorization-based selection model is described that is based on rapidly constructed word-by-word gloss translations. An…
Descriptors: Computer Interfaces, Computer System Design, Information Retrieval, Information Seeking
Oliver, Kevin M.; Wilkinson, Gene L.; Bennett, Lisa T. – 1997
Internet information resources are proliferating at an astonishing rate, however, very little of that information is of high quality. Educators are in need of instruments to assist in evaluating information quality, which is the goal of a project underway at The University of Georgia. This paper is a progress report on the project to develop such…
Descriptors: Access to Information, Evaluation Criteria, Evaluation Needs, Higher Education
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Kekalalainen, Jaana; Jarvelin, Kalervo – Journal of the American Society for Information Science and Technology, 2002
Proposes evaluation methods based on the use of nondichotomous relevance judgements in information retrieval (IR) experiments. Argues that evaluation methods should credit IR methods for their ability to retrieve highly relevant documents. This is desirable from the user point of view in modern large IR environments. (Author/AEF)
Descriptors: Evaluation Criteria, Evaluation Methods, Information Retrieval, Information Seeking