AK Tourism: A Property Graph Ontology-based TourismRecommender System
Seong She Keng, Su-Cheng Haw, Gene Loh Yu, Fang Chua Fang · Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia) · 2018
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.