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Title:
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EXTRACTING THE SPRINGBOARD FOR REFLECTING USER'S RECOGNITION ON THE OBTAINED PAGES TO FURTHER SEARCH |
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Author(s):
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Yota Kawawa, Hiroki Nakayama, Ryo Onuma, Hiroaki Kaminaga, Youzou Miyadera and Shoichi Nakamura |
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ISBN:
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978-989-8533-82-1 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Springboard, Page Classification, Search Intention, Extraction of Promising Page |
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Type:
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Poster / Demonstration |
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First Page:
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427 |
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Last Page:
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429 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Web searches are becoming ever more important as searches diversify. During Web searches, the users need to classify and utilize acquired Web pages well. However, such tasks are often difficult. Moreover, the searchers evaluation of obtained pages gradually changes. This research focuses on Springboard to realistically express users intentions. Based on this, we aimed at developing a support system for extracting the promising pages for each type of springboard. In this paper, we discuss the framework of the support system along with the outline of Springboard. |
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