Despite the flurry of anomaly-detection papers in recent years, effective ways to validate and compare proposed solutions have remained elusive. We argue that evaluating anomaly d...
This paper describes Armil, a meta-search engine that groups the web snippets returned by auxiliary search engines into disjoint labeled clusters. The cluster labels generated by A...
Filippo Geraci, Marco Pellegrini, Marco Maggini, F...
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing the limitations of current HITS-based algorithms, we pro...
Result diversity is a topic of great importance as more facets of queries are discovered and users expect to find their desired facets in the first page of the results. However,...