Travel Location Recommendation from Users’ Feedback

Author Name(s): Shree Laddha, Shailendra Aote
Author Email: shreeladdha11@gmail.com

Abstract

This paper discusses the method of travel sequence recommendation based on user’s point of interests. Various methods and its limitations are discussed here, based on which, the proposed algorithm is provided. The entire process consist of following: Pages are available to the users based on page rank algorithm and users‟ feedback. Based on the point of interest, all the reviews are retrieved. The method is tested on self-created database consisting of user’s feedback, user information, state and city, place and place types.

Introduction

The travel recommendation is an important to suggest best location for user to travel as per its own point of interest. In this busy world our day to day life is getting more and more digital and social. All our daily need products can be ordered online and the products are delivered at your doorstep. In the same way travel sequence recommendation enables users to view the place of their interest and accordingly select the place to visit. Our basic need is to get the best location from the user friend list and the best place to take in. The system that we design should recommend us the best restaurants, hotels, hospitality facility, accommodation and the best route to travel these places and the facilities in less time and in the minimum cost. It recommends the sequential path to travel that places in less time so that no wastage of time, money etc. These recommendations are recommended from the user friend list data that we save in our database which contains the description such as information, ratings, reviews, visiting time and season. Existing system and studies have not solved these problems. To collect all the correct and proper information of that place the user need to browse several websites and updates its original data. Several existing system might have different information about the same place so it become faulty. Recommendation from unknown resources may not have correct information so we proposing a system in which user point of interest is taken consideration through the user hobbies, preferences of the place type that user visit repeatedly. Such as place types are like trekking places, amusement park, water-park, forts, museums, rivers and dams, historical places, temples etc.

The existing study is not as advanced that can recommend the path to travel the places sequentially, and cannot recommend all the parameter in the same system. All these challenges we put it together and generate a well and suitable recommendation system which gives a sequential path for all the places that save time and cost of traveling.

Conclusion

In this paper, we propose Travel Sequence Recommendation from User’s Point of Interest, which is powerful enough to recommend the best location to travel using collaborative filtering technique based on user’s point of interest. It provides most accurate information and instant answers to user about the location he searches. The system is finally able to suggest the most suitable location for traveling according to user’s interest in less time. The system gives best time, best season to visit the place and the shortest route to reach that place.

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