A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Web Page Clustering
2012
ACM Transactions on Intelligent Systems and Technology
Automatic clustering of webpages helps a number of information retrieval tasks, such as improving user interfaces, collection clustering, introducing diversity in search results, etc. Typically, webpage clustering algorithms only use features extracted from the page-text. However, the advent of social-bookmarking websites, such as StumbleUpon.com and Delicious.com, has led to a huge amount of user-generated content such as the social tag information that is associated with the webpages. In this
doi:10.1145/2337542.2337552
fatcat:zknw75oor5geheog3aymmn6wwm