Intelligent search in E-Tourism services using Recommendation System: Perfect guide for tourist

Tourism is considered as a most profitable industry in today´s era, because it provides the opportunity to the people to earn chunk of money. Whenever a person opens a particular site, in order to attain information about a particular tourism spot, then the website always shows the same data to different number of people i.e. the content remains the same. Searching for a particular place provides the people huge amount of information which is generally waste of time. A Recommendation System is a personalization tool that offers users with a list of items that best fit their individual taste. There are so many traditional methods available for recommending the items to the users like we have content based filtering, collaborative based filtering and knowledge based filtering but these methods have some shortcomings. In this paper we are proposing three algorithms on recommendation system; one is based on historical data (registered user), second is based on cookies (for unregistered user) and third is based on time scheduling. Time Scheduling has very relevant feature that most recommendation system lacks. In Time Scheduling recommendation system we are using totally different concept, in which recommendation system will schedule all the activities of the users. This provides the real agenda of activities which not only shows the user preferences but also provides the whole schedule which includes how and when to perform activities.