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Lee, J.H.; Kim, M.H.: Ranking documents in thesaurus-based Boolean retrieval systems (1994)
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- Abstract
- Investigates document ranking methods in thesaurus-based Boolean retrieval systems and proposes a new thesaurus-based ranking algorithm, the Extended Relevance (E-Relevance) algorithm. The E-Relevance algorithm integrates the extended Boolean model and the thesaurus-based relevance algorithm. Since the E-Relevance algorithm has all the desirable properties of previous thesauri-based ranking algorithms. It also ranks documents effectively by uisng terms dependence information from the thesaurus. Through performance comparison shows that the proposed algorithm achieved higher retrieval effectiveness than the others proposed earlier
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Lee, J.H.; Kim, M.H.; Lee, Y.J.: Information retrieval based on conceptual distance in is-a hierarchies (1993)
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- Abstract
- There have been several document ranking methods to calculate the conceptual distance or closeness between a Boolean query and a document. Though they provide good retrieval effectiveness in many cases, they do not support effective weighting schemes for queries and documents and also have several problems resulting from inappropriate evaluation of Boolean operators. We propose a new method called Knowledge-Based Extended Boolean Model (KB-EBM) in which Salton's extended Boolean model is incorporated. KB-EBM evaluates weighted queries and documents effectively, and avoids the problems of the previous methods. KB-EBM provides high quality document rankings by using term dependence information from is-a hierarchies. The performance experiments show that the proposed method closely simulates human behaviour
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Kwon, O.W.; Lee, J.H.: Text categorization based on k-nearest neighbor approach for web site classification (2003)
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- Date
- 27.12.2007 17:32:29
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Yip, J.C.; Lee, K.J.; Lee, J.H.: Design partnerships for participatory librarianship : a conceptual model for understanding librarians co designing with digital youth (2020)
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- Date
- 12. 9.2020 19:29:20
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Lee, J.H.; Price, R.: User experience with commercial music services : an empirical exploration (2016)
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- Date
- 17. 3.2016 19:22:15
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Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018)
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- Abstract
- The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
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Park, M.S.; Park, J.H.; Kim, H.; Lee, J.H.; Park, H.: Measuring the impacts of quantity and trustworthiness of information on COVID-19 vaccination intent (2023)
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- Date
- 22. 6.2023 18:20:47
