Web Development

Web Document Clustering and Visualization Results of Semantic Web Search Engine Using V-Ranking

Free registration required

Executive Summary

As the number of available Web pages grows; it is become more difficult for users finding documents relevant to their interests. Clustering is the classification of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure. Because of the short lengths of queries, approaches based on keywords are not suitable for document clustering. This paper describes a new Web Document Clustering method that makes use of user logs which allow identifying the documents the users have selected for a query. The similarity between two queries may be deduced from the common documents the users selected for them.

  • Format: PDF
  • Size: 750.3 KB