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Title:
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MODELING MUSIC INFORMATION NEEDS IN UNKNOWN-ITEM SEARCH: A MIXED-METHOD ANALYSIS OF ONLINE MUSIC QUERIES |
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Author(s):
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Ming-Hsin Chiu, Chia-Hui Liao |
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ISBN:
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978-972-8939-55-7 |
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Editors:
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Piet Kommers, Ji-ping Zhang, Tomayess Issa and Pedro Isaías |
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Year:
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2011 |
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Edition:
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Single |
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Keywords:
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Music information retrieval, music information needs, music categories, unknown-item search |
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Type:
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Full Paper |
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First Page:
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166 |
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Last Page:
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173 |
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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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This study aims to investigate the characteristics of online music information needs. It collects 120 online music queries of music information needs for unknown-item search to explore the characteristics and identifies how these characteristics are related to each other, through the generalization of phrases that users use to describe their music needs. Preliminary results found that non-specific online music needs include two major categories, objective information and subjective description; and six sub-categories: bibliographical information, peripheral information, referential information, intended use, affection, and context. Its purpose is to construct a classification model of non-specific music information needs, and explore the possibility of the new classification of online music retrieval system from demand side, with an expectation to design a better music retrieval system for non-specific music needs. |
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