A novel efficient construction of multi day itinerary planning using FCM clustering
Itinerary planning is consequential process and time consuming process for travelling agencies which need to be done conscientiously to gratify the user requisites. The satisfaction level of users can be incremented by getting the itinerary in the customized manner by amassing the details from the users itself. There will be more encumbrance of processing the huge search space will occur where the number of POI presented. The time complexity and cost of processing those requests will be incremented due to the large search space and then additionally it will be require more effort when there is a demand of engendering a similar type of itinerary plan to the multiple users. Existing work address the trouble presume that user's trip is limited for some important POIs and will complete within one day this is not possible for all time. To address the above constraint to design more general multi day itineraries for the user. All the POIs are ranked depend up on the users' preference work user similarity requirements are not considered. To overwhelm this problem in this work to the multi user itinerary plan generation was proposed which intends to engender the multi user customized itinerary plan by using the fuzzy c means clustering algorithm(FCM) is Successful proposed approach, FCM clustering used in the proposed approach itinerary planning with the consideration of the users with similar requirement. Experiments on real data sets and FCM can generate high quality itineraries efficiently.
2016 Online International Conference on Green Engineering and Technologies (IC GET)