Linking Wikipedia Entries to Blog Feeds by Machine Learning
Authors | Mariko Kawaba Hiroyuki Nakasaki Daisuke Yokomoto Takehito Utsuro Tomohiro Fukuhara |
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Publication date | 2009 |
DOI | 10.1145/1667780.1667854 |
Links | Original |
Linking Wikipedia Entries to Blog Feeds by Machine Learning - scientific work related to Wikipedia quality published in 2009, written by Mariko Kawaba, Hiroyuki Nakasaki, Daisuke Yokomoto, Takehito Utsuro and Tomohiro Fukuhara.
Overview
This paper studies the issue of conceptually indexing the blogosphere through the whole hierarchy of Wikipedia entries. This paper proposes how to link Wikipedia entries to blog feeds in the Japanese blogosphere by machine learning, where about 300,000 Wikipedia entries are used for representing a hierarchy of topics. In experimental evaluation, authors achieved over 80% precision in the task.