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SEMANTIC ANALYSIS BASED SEARCH AND RETRIEVAL SYSTEM FOR DISCOVERING TOURISM SERVICES

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Tartalom: http://real.mtak.hu/21348/
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published



Type = Book Section
Cím:
SEMANTIC ANALYSIS BASED SEARCH AND RETRIEVAL SYSTEM FOR DISCOVERING TOURISM SERVICES
Létrehozó:
Skrop, Adrienn
Közreműködő:
Bregovic, Maja
Bujan, Ivana
Dátum:
2014
Téma:
GV Recreation Leisure / szabadidő, szórakozás
HB Economic Theory / közgazdaságtudomány
ZA Information resources / információforrások
Tartalmi leírás:
This paper presents research results obtained within the ÉLMÉNY2MAX project by ap
-
plying semantic analysis based search and retrieval technologies in order to discover tourism services. The
ÉLMÉNY2MAX system is designed to find tourism services packages that are close to each other in time and
space according to users? preferences. The present paper is a detailed description of the information search
and retrieval component of the ÉLMÉNY2MAX system. This part of the system recommends services us
-
ing information provided by websites, portals and databases. Relevant information is located by semantic
analysis based search technology. Tourism services relevant to user preferences are determined using novel
information retrieval models that are capable of changing system categoricity at low computational costs.
Keywords:
information search and retrieval, semantic search, vector space model, hyperbolic geom
-
etry, similarity measures.
Típus:
Book Section
PeerReviewed
Formátum:
text
Azonosító:
Skrop, Adrienn (2014) SEMANTIC ANALYSIS BASED SEARCH AND RETRIEVAL SYSTEM FOR DISCOVERING TOURISM SERVICES. In: Nemzetközi Turizmus és Sport Menedzsment Konferencia. [s.n.], Sveti Martin na Muri, pp. 207-212. ISBN 9789535630388
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