Paper Info
Title
Using thematic ontologies for user- and group-based adaptive personalization in web searching
Abstract
This paper presents Prospector, an adaptive meta-search layer, which performs personalized re-ordering of search results. Prospector combines elements from two approaches to adaptive search support: (a) collaborative web searching; and, (b) personalized searching using semantic metadata. The paper focuses on the way semantic metadata and the users’ search behavior are utilized for user- and group- modeling, as well as on how these models are used to re-rank results returned for individual queries. The paper also outlines past evaluation activities related to Prospector, and discusses potential applications of the approach for the adaptive retrieval of multimedia documents.
Year
DOI
Venue
2008
10.1007/978-3-642-14758-6_2
Adaptive Multimedia Retrieval
Keywords
Field
DocType
adaptive retrieval,discusses potential application,search support,adaptive meta-search layer,collaborative web,search behavior,multimedia document,semantic metadata,individual query,thematic ontology,group-based adaptive personalization,search result
Ontology (information science),Metadata,Data mining,World Wide Web,Semantic Web Stack,Information retrieval,Semantic search,Computer science,Web searching,Thematic map,Personalization
Conference
ISBN
Citations 
PageRank 
3-642-14757-7
2
0.39
References 
Authors
9
4
Name
Order
Citations
PageRank
Alexandros Paramythis117812.71
Florian König291.64
Christian Schwendtner350.79
Lex van Velsen413915.58