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Title:      FROM MUSIC INFORMATION NEEDS TO MUSIC INFORMATION RETRIEVAL AND DISCOVERY: A CONTENT ANALYSIS OF ONLINE QUERIES FOR UNKNOWN-ITEM MUSIC SEARCH
Author(s):      Ming-Hsin Chiu, Chia-Hui Liao
ISBN:      978-972-8939-77-9
Editors:      Piet Kommers, Tomayess Issa and Pedro IsaĆ­as
Year:      2012
Edition:      Single
Keywords:      Music information retrieval, music information needs, music discovery, unknown-item search, music classification.
Type:      Full Paper
First Page:      27
Last Page:      34
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      This study aims to investigate the characteristics of online music information needs. It collects 500 online music queries of music information needs for unknown-item search to explore the characteristics and identify the patterns and relationship in user query formulation in Social Q&A environment. Research findings suggested that expression of online music needs for unknown-item search can be divided into two major categories, objective information (bibliographical information, peripheral information, referential information) and subjective description (intent, affection, and context). Its purpose is to construct a context-based classification scheme of music information needs for unknown-item search from the demand side, with an expectation to inform the design of a creative music search and discovery system.
   

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