Prediction of social annotation on resource-sharing services
Date Issued
2007
Date
2007
Author(s)
Chen, Ju-Peng
DOI
en-US
Abstract
預測網路標籤趨勢
Popular social bookmark service del.icio.us enables easy annotation for user to orga-
nize their resources. The lightweight conceptual structure built by users called folkson-
omy is able to provide a di?erent retrieval service that utilzes its power. However, the
performance was hindered by lack of tags at a resource’s new arrival. Thus, our work
aims to overcome the handicap of retreival for new-coming URLs by predicting tags at
early stage.
We exploit accumulated tagging records from users to predict tags. Our experiements
on del.icio.us URLs show that our algorithm has a high coverage of tags appearing in the
mature stage. Our prediction captures 80% of a 13-month old tag set at the first month
and 80.23% of 100-users tag set with 5-users tag set.
Subjects
標籤,資料檢索
folksonomy
information retrieval
algorithm
social resource sharing
Type
thesis
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