International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
PLACE RECOMMENDATION SYSTEM Sunil Singh1, Rajwant Gupta2, Sheena Panjabi3, Ashish Tribhuvan4, Jaya Jeswani5 1Student,
IT, Xavier Institute of Engineering, Maharashtra, India IT, Xavier Institute of Engineering, Maharashtra, India 3Student, IT, Xavier Institute of Engineering, Maharashtra, India 4Student, IT, Xavier Institute of Engineering, Maharashtra, India 5Professor, IT, Xavier Institute of Engineering, Maharashtra, India 2Student,
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Abstract -This project focusses on developing an
For the information of places, this project uses a selfdriven database wherein, the database is created and updated by the admin. Self-driven database is used so that the information of even the smallest, not so very famous shops and places can also be listed to the user in recommendation part. Also, this database can be further modified recurrently to update information about the new places. Therefore, this application can provide great help to the local users by letting them know places which they are not aware about, also the tourists by listing and recommending them with tourist attraction places and places of basic needs such as medical stores, petrol pumps, banks, etc.
android application which can be used for recommending places to the user based on his current GPS location. For this we use user based collaborative filtering algorithm which evaluates places based on user’s current location, check-in’s and preferences. Collaborative filtering algorithm is used to recommend nearest and best places to the users from the device. For the purpose of recommendation, we use a self-driven database for information of places which incorporates real-world check-in spots. Our objective is to extract information about a place and recommend user their place of interest based on their ratings and system algorithm.
1.1 Need of the proposed system
Key Words - Collaborative filtering algorithm, PHP, Android SDK, SQL, GPS.
On a daily basis local users find it difficult to search places of basic requirements whenever they are in new place, this application helps local users to spot places of their need, taste and preferences. Also this application helps tourists to come across language barrier and get to visit tourist spots whenever in a new city. This application performs tasks such as to find all the possible results, user can view all the local restaurant, hospitals, medical shops etc. within few kilometers range. Recommender system will evaluate attractive places based on their ratings that have been stored in the database which is created by admin.
1.INTRODUCTION With the advances in technology, use of smart phone has increased multifold. Due to easy access to internet on handhelds use of location based application on mobile phone have been in trend. Location based applications make use of the current GPS location and list nearby places around a certain radius. For example, user can view shopping malls, movie theatres, restaurants, etc. when in a range of few kilometers to these places. Despite the usage of such applications steadily increasing, the number of check-in spots have also been increasing in the recent years which creates a lot of confusion amongst the users as to which place they would like and enjoy. Therefore, this project ‘Place Recommendation System’ is developed to reduce the confusions of the users and helps them by recommending their place of interests. This application is used to recommend places to the users according to his\her taste and preferences, considering his previous check-ins, likes and dislikes. This application also considers the likings of other users around the targeted user’s location and recommends the targeted user with the places around him\her. Hence, this application recommends places to the users using these two ways. For the recommendation part, this application uses user-based collaborative filtering algorithm which helps in sorting places and listing them to the users, as discussed earlier.
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Impact Factor value: 5.181
1.2 Disadvantages of Existing System Existing system takes ratings from different websites or surveys which may not be completely genuine, whereas this system evaluates ratings and recommendation directly from the users itself. In this system there are two kinds of recommendations that can be performed while existing system has only one kind of recommendation. Existing system takes more time to respond whereas, this application is more responsive & time efficient. Existing systems may not have information about all the smaller shops and places whereas, this application even lists you those places.
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