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
Lecture Notes in Computer Science
Clustering is currently one of the most crucial techniques for dealing (e.g. resources locating, information interpreting) with massive amount of heterogeneous information on the web, which is beyond human being's capacity to digest. In this paper, we discuss the shortcomings of pervious approaches and present a unifying clustering algorithm to cluster web search results for a specific query topic by combining link and contents information. Especially, we investigate how to combine link anddoi:10.1007/3-540-46146-9_89 fatcat:qjog7nqpi5fvlotxep5menr5pm