Analyzing the Evolution of Users'' Interests in a Social Bookmarking Website
Date Issued
2009
Date
2009
Author(s)
Chang, Yu-Hui
Abstract
Social bookmarking website is a new kind of site which combined the online bookmark service and the characteristics of Web 2.0, allows users to save bookmarks, share bookmarks and explore new information in the social network.When a user bookmarks one page and annotates it with tags, we believe that the user is interested in the implied topic of this page, and the tags which were used are conceptual descriptions of the topic. In this work, all tags be preprocessed and transformed into concepts. We try to analyze the evolution of user''s interest by estimating the correlation between concepts over time.In this thesis, we introduce four methods to estimate the temporal correlation between two concepts and four methods to estimate the static correlation between two concepts. Then, we employed some linear regression models to detect whether there is a trend in the history of temporal correlations. Using the detected trends and static correlations, we can estimate the dynamic concepts correlations.We visualize some detected trends to analyze the variation of users'' interest, and evaluate our methods via tag prediction. Finally, we discuss our experiment results and state some issues for future work.
Subjects
social tagging
social bookmarking
trend prediction
collaborative tagging
visualization
Type
thesis
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