DocumentCode
1841226
Title
Query Disambiguation Based on Novelty and Similarity User´s Feedback
Author
Bordogna, Gloria ; Campi, Alessandro ; Ronchi, Stefania ; Psaila, Giuseppe
Volume
3
fYear
2009
fDate
15-18 Sept. 2009
Firstpage
125
Lastpage
128
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.
Keywords
Collaboration; Conferences; Content based retrieval; Feedback; Information analysis; Intelligent agent; Privacy; Search engines; Web pages; Web search; Web result clustering; novelty- similarity ranking; query diambiguation; relevance feedback;
fLanguage
English
Publisher
iet
Conference_Titel
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Milan, Italy
Print_ISBN
978-0-7695-3801-3
Electronic_ISBN
978-1-4244-5331-3
Type
conf
DOI
10.1109/WI-IAT.2009.246
Filename
5284943
Link To Document