Tourism Recommender System Utilising Property Graph Ontology as Knowledge Base
Keng-Seong She, Su-Cheng Haw, Lit-Jie Chew · 2020
In recent years, the amount of Internet information and users has been increasing at a remarkable rate. Recommender System (RS) has emerged to solve the problem of drastic overloaded information over the Internet. RS automatically analyses all relevant information by integrating profiling tailored to specific user, as well as user rating to give more accurate and reliable recommendations. In this paper, we propose an ontology-based using Jaccard Index to define rules and interrelations between entities, thus, offering greater semantic relations within a particular domain.