AK Tourism: A Property Graph Ontology-based Tourism Recommender System
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 pro...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/25195/1/KMICE%202018%2083%2088.pdf http://repo.uum.edu.my/25195/ http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html |
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| Summary: | 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. |
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