Citation

Haw, Su Cheng and She, Keng Seong and Chew, Lit Jie (2020) Tourism Recommender System Utilising Property Graph Ontology as Knowledge Base. ACM International Conference Proceeding Series. pp. 14-18. ISSN 2374-6769

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Recommender System
Subjects:	Z Bibliography. Library Science. Information Resources > ZA3038-5190 Information resources (General)
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	21 Oct 2021 03:05
Last Modified:	21 Oct 2021 03:05
URII:	http://shdl.mmu.edu.my/id/eprint/8300

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