Title :
Extended Triple Store Structure Used in Recommender System
Author :
Luberg, Ago ; Tammet, Tanel ; Järv, Priit
Author_Institution :
Eliko Competence Center, Tallinn, Estonia
fDate :
Aug. 29 2011-Sept. 2 2011
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;
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-0982-1
DOI :
10.1109/DEXA.2011.32
