Discovering Serendipitous Information from Wikipedia by Using Its Network Structure
Authors | Yohei Noda Yoji Kiyota Hiroshi Nakagawa |
|---|---|
Publication date | 2010 |
Links | Original |
Discovering Serendipitous Information from Wikipedia by Using Its Network Structure - scientific work related to Wikipedia quality published in 2010, written by Yohei Noda, Yoji Kiyota and Hiroshi Nakagawa.
Overview
Many researchers conducted studies on extracting relevant information from web documents. However, there are few studies on extracting serendipitous information. Authors propose methods to discover unexpected information from Wikipedia by using its network structure, for example, the distance between two categories. Authors evaluated two methods: a classification-based method using support vector machines (SVMs), and a ranking-based method using regression. Authors demonstrate advantages of regression over classification.
Embed
Wikipedia Quality
Yohei, Noda; Yoji, Kiyota; Hiroshi, Nakagawa. (2010). "[[Discovering Serendipitous Information from Wikipedia by Using Its Network Structure]]".
English Wikipedia
{{cite journal |last1=Yohei |first1=Noda |last2=Yoji |first2=Kiyota |last3=Hiroshi |first3=Nakagawa |title=Discovering Serendipitous Information from Wikipedia by Using Its Network Structure |date=2010 |url=https://wikipediaquality.com/wiki/Discovering_Serendipitous_Information_from_Wikipedia_by_Using_Its_Network_Structure}}
HTML
Yohei, Noda; Yoji, Kiyota; Hiroshi, Nakagawa. (2010). "<a href="https://wikipediaquality.com/wiki/Discovering_Serendipitous_Information_from_Wikipedia_by_Using_Its_Network_Structure">Discovering Serendipitous Information from Wikipedia by Using Its Network Structure</a>".
