Name
Abstract | ||
|---|---|---|
In this paper we propose a query disambiguation mechanism focalizing the query context by applying clustering to the results of a Web-search. The clusters are ranked to reflect a balance of their contents’ novelty and overall similarity with respect to the original query, and, from each of them, a disambiguated query is generated so as to potentially retrieve new documents focalized on the cluster contents. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WI-IAT.2009.246 | FQAS |
Keywords | Field | DocType |
disambiguated query,query context focalization,similarity user,meta-search environment,overall similarity,distinct homogeneous group,possible new focalized search,query disambiguation mechanism,new document,query disambiguation,original query,main content,query context,cluster content,following step,collaboration,feedback,information analysis,intelligent agent,privacy,search engines,web pages | Query optimization,Web search query,Data mining,Query language,RDF query language,Query expansion,Information retrieval,Computer science,Sargable,Web query classification,Ranking (information retrieval) | Conference |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gloria Bordogna | 1 | 974 | 103.99 |
| Alessandro Campi | 2 | 357 | 30.08 |
| Stefania Ronchi | 3 | 41 | 5.31 |
| Giuseppe Psaila | 4 | 722 | 192.45 |