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QueryShare: Working Together to Facilitate Exploratory Multimedia Searches without Skill in Creating

Published: 23 August 2017 Publication History

Abstract

This paper describes a music exploratory search interface called QueryShare, which provides query searching and recommendation functions for query sharing among users. Most people are not expert users who know how to use various music metadata that include automatically estimated musical features to represent their own information needs as a query. Therefore, it is difficult for them to enter a complex query for music content retrieval. The original feature of our proposed interface is to make users share every query as a public web page. This feature enables users to use search queries, find recommended queries, and revise existing queries. Beginners can use an applicable query, which is more complicated than they might create on their own. Experts can readily reuse a query (web page) of their own making. The interface assists users in finding results for interesting queries and in performing music exploratory search without skills to create complex queries. We developed a prototype system as a web application for music videos on the most popular Japanese video sharing service. Users can search for over 360,000 music videos using our system. Results of a preliminary user study demonstrated that users found the query creation interesting and that they were interested in seeing and using queries created by other users, although some users hesitated to share their queries.

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  1. QueryShare: Working Together to Facilitate Exploratory Multimedia Searches without Skill in Creating

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        cover image ACM Other conferences
        OpenSym '17: Proceedings of the 13th International Symposium on Open Collaboration
        August 2017
        218 pages
        ISBN:9781450351874
        DOI:10.1145/3125433
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        Published: 23 August 2017

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        Author Tags

        1. Collective intelligence
        2. Multimedia Content Retrieval
        3. Query sharing
        4. Search interface
        5. User-generated content

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        • JSPS KAKENHI
        • JST ACCEL

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