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Title:
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MORE THAN CONTENT CLASSIFICATION: SELF-EXPRESSION THROUGH IMAGE TAGGING |
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Author(s):
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Angelina Ziesemer, Luana Müller, Milene Silveira |
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ISBN:
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978-989-8533-57-9 |
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Editors:
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Pedro Isaías |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Self-expression, tagging, recommendation, image-sharing |
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Type:
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Full Paper |
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First Page:
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35 |
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Last Page:
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42 |
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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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Tagging has the potential to improve information retrieval. Although its primary purpose is description and categorization of content, the tagging task has evolved and now users express more than the explicit content presented on the resources being tagged. However, tagging is a repetitive work and, due to this fact, tag recommender systems were developed to support this task by suggesting tags based on similarity. Although these types of systems improve the quality and homogeneity of tags, users have distinct criteria, motivation and style for tagging. In this work we conducted two studies to investigate how users express themselves using tags on images. Results show that tags language and structure are a matter of personal style and users want to express the context that an image represents through tags. Despite the fact that users want to express themselves by using personal tags, when recommendation is involved they change their tagging style and assume the collective tag expression. |
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