In today’s world, many people uses online services for visiting places. So, the online tourism system can help to decide
when and where to go. In order to improve the tourist plan using recommender system in favor of user interest, we have implemented a
tourism system as per user interest such as user budget, season, area, and the number of days. In this paper, we have used the semantic
web with ontology to describe the visiting place in anywhere in India for customer choice. To develop the ontology protégé framework
is used to describe in better form. The User just puts their interest in general term and system will select the more convenient activities
for them. Knowledge-based filtering the system has been used to develop recommender system.
Published In:IJCSN Journal Volume 7, Issue 3
Date of Publication : June 2018
Pages : 182-191
Tables : --
Dilkash Naaz; : Department of Computer Science, AL-FALAH UNIVERSITY
Faridabad, Haryana (121004), India.
Mohammad Danish : Department of Computer Science, AL-FALAH UNIVERSITY
Faridabad, Haryana (121004), India.
All through the elaboration of this paper, in which
different framework is used, new technology and ontology
are the main role play in this model. This work has not
only help me to know about recommendation system,
ontology and similarity index but also familiar in the field
of tourism sector.
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