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• Create Date 11 May 2023
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WanderHub-Travel Recommendation App

1Anish Suvarna, 2Anush Kumar,  3Arpitha Salian,  4Sherene Rahel Maben,

1Student, 2Student, 3Student, 4Student

1Information Science and Engineering

1A.J. Institute of Engineering and Technology, Mangalore, India

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Abstract - Tourism is one of the fastest growing industries today. It has been an irreplaceable part of economy growth of every country. By that factor, we were encouraged to build an application to serve detail information of tour destinations to provide easy preparation for travelling. This Application focuses on building recommender system in the tourism field. The application, Wander Hub, recommends to a tourist the best attractions in a particular place according to his preferences, his profile and his appreciation to previous visited places. The recommendation consists of user’s preferences such as user attributes like male/female, cuisine type, and destination interests to create a user profile. It can provide a more appropriate recommendation result matching user’s profile. Both aspects are to support route planning before the journey. It was developed to learn user’s behaviour based on empiric data, which used to offer relevant destinations to certain user by using a hybrid recommendation system that uses K-means for eateries, and Mean-shift clustering for places. Wander Hub is a web-based application which suggests detail information of destinations, eateries.

Key Words:  Travel, Restaurants, Recommendation