| Summary: | This project will outline the creation of tourist destination recommendation
prototype. Recommender systems became a significant tool in the field of
tourism which offers an opportunity to find a travel bundle or a single travel item.
The existing tourist recommendation systems have some shortcomings as they
allow no or only very limited flexibility when taking constraints or preferences into
user account. Therefore, case-based reasoning (CBR) approach has been
proposed in this system for modeling and explaining human problem solving
which has gaining popularity in recommender systems. This CBR technique is
employed to support information search and choice processes that helps user to
create a travel plan by recommending attractive travel products. It contained four
specific processes which are retrieve, reuse, revise and retain that each of this
process played important role to make solutions. As a result, by applying CBR
approach in recommendation system, it enable users to browse a repository of
past travels and make ranking possibly of the basic item such as activities
provided when selected from catalogue which included in recommendation
system other than make decisions on tourist destination that offered by this
system. The advantages of this approach compared to rule-based are shown.
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