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AK Tourism: A Property Graph Ontology-based Tourism Recommender System


Keng, Seong She and Su, Cheng Haw and Yu, Gene Loh and Fang, Fang Chua (2018) AK Tourism: A Property Graph Ontology-based Tourism Recommender System. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.

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Abstract

Recommender system (RS) is used to overcome the problem of information overload over the World Wide Web.Most of the time, users will be returned with a huge number of links when they do a Point of Interest (POI) search for interesting places to visit via the search engine. RS overcomes the problem by analyzing automatically all the possible items information integrates with personalized user profiling (user preferences), and user rating. Specifically, ontology-based recommender system adopts new and alternative trends in recent years.Ontologies define rules to structure data, including interrelations between entities in the database.As such, it offers greater semantic relations within a particular domain. In this paper, we propose: (i) ontology representation, (ii) sample query in Cypher, and (iii) AK Tourism to demonstrate the recommender system in Malaysia tourism domain.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ontology, recommender system, user profiling, tourism, point of interest.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Computing
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 21 Nov 2018 01:57
Last Modified: 21 Nov 2018 01:57
URI: http://repo.uum.edu.my/id/eprint/25195

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