The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
: User interfaces to WWW search engines typically present results as ranked lists of documents. Such lists give users little help in understanding document variation: we propose a ...
Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas W...
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...