DocumentCode
2025451
Title
Extended Triple Store Structure Used in Recommender System
Author
Luberg, Ago ; Tammet, Tanel ; Järv, Priit
Author_Institution
Eliko Competence Center, Tallinn, Estonia
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
539
Lastpage
543
Abstract
We present a database structure and main algorithms for a tourism recommender system. The presented structures are implemented in the Sights planner system, able to create plans for visiting interesting objects and events on the trip, based on the personal preference profile. The database structure can be seen as RDF extended with metainformation fields. Every fact in the database has a confidence score, interpreted as the probability. The score is used to deduct new facts and recommend objects to tourists.
Keywords
database management systems; probability; recommender systems; travel industry; RDF extended; Sights planner system; database structure; extended triple store structure; metainformation field; personal preference profile; probability; tourism recommender system; Cognition; Engines; Memory; Recommender systems; Relational databases; Resource description framework; RDF; Recommender system; database; reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location
Toulouse
ISSN
1529-4188
Print_ISBN
978-1-4577-0982-1
Type
conf
DOI
10.1109/DEXA.2011.32
Filename
6059873
Link To Document