Developing an intelligent trip recommender system by data mining methods

Abstract

Internet has a very wide usage in almost every sector. People are continuously looking and searching for information through internet. Narrowing down relevant search results is not a very simple task. Recommender systems are being used in almost every search related area. Tourism domain is one of these sectors. This study proposes an implementation of an expert system framework which can accurately classify users and make predictions about user classifications for recommending tourism related services. Proposed approach predicts clusters for system users and according to these user clusters, trips, hotels and such services can be recommended individually or as a campaign to target user or user groups. Keywords:  Trip recommender, data mining, expert systems