Proceedings:
Social Information Processing
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Issue:
Social Information Processing
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Abstract:
People establish personal profiles to obtain online services. Profiles consisting of simple factual data provide an inadequate description of the individual, as they are often incomplete, mostly subjective and cannot reflect dynamic changes. This research explores the idea of “you are what you tag”, namely, an individual can be effectively profiled by the tags associated with his/her social media. In particular, this paper presents the personal, social, and global views of a person's profile based on the tags and content of social bookmarking. To facilitate the alternative views, profiles are visualized as tag clouds based on color harmonic combinations. Commonsense semantic analysis and co-occurrence measurement are defined to calculate tag similarity. Therefore, the proposed approach supports an intuitive, natural and novel interface for people to browse/search through a social web site.
Spring
Social Information Processing