scholarly journals An Empirical Recommendation Framework to Support Location-Based Services

2020 ◽  
Vol 12 (9) ◽  
pp. 154 ◽  
Author(s):  
Animesh Chandra Roy ◽  
Mohammad Shamsul Arefin ◽  
A. S. M. Kayes ◽  
Mohammad Hammoudeh ◽  
Khandakar Ahmed

The rapid growth of Global Positioning System (GPS) and availability of real-time Geo-located data allow the mobile devices to provide information which leads towards the Location Based Services (LBS). The need for providing suggestions to personals about the activities of their interests, the LBS contributing more effectively to this purpose. Recommendation system (RS) is one of the most effective and efficient features that has been initiated by the LBS. Our proposed system is intended to design a recommendation system that will provide suggestions to the user and also find a suitable place for a group of users and it is according to their preferred type of places. In our work, we propose the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for clustering the check-in spots of the user’s and user-based Collaborative Filtering (CF) to find similar users as we are considering constructing an interest profile for each user. We also introduced a grid-based structure to present the Point of Interest (POI) into a map. Finally, similarity calculation is done to make the recommendations. We evaluated our system on real world users and acquired the F-measure score on average 0.962 and 0.964 for a single user and for a group of user respectively. We also observed that our system provides effective recommendations for a single user as well as for a group of users.

Author(s):  
Ganga Gudi ◽  
Dr. Hanumanthappa M

Wireless communication has become important in location-based services. The enormous amount of data is extracted for useful information to solve the real world problem. Global positioning system, is used to captures the position of an object at specific time period. The scheme is finding the congested route by considering the number of vehicles in a road segment. It consists of two methods, firstly it finds the group of points based on consistency of route points and second it arranges the groups in sequence of values for each route


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Rung-Shiang Cheng ◽  
Wei-Jun Hong ◽  
Jheng-Syun Wang ◽  
Kawuu W. Lin

Users rely increasingly on Location-Based Services (LBS) and automated navigation/guidance systems nowadays. However, while such services are easily implemented in outdoor environments using Global Positioning System (GPS) technology, a requirement still exists for accurate localization and guidance schemes in indoor settings. Accordingly, the present study proposes a system based on GPS, Bluetooth Low Energy (BLE) beacons, and Near Field Communication (NFC) technology. Through establishing graphic information and the design of algorithm, this study develops a guidance system for indoors and outdoors on smart phones, wishing to give user perfect smart life through this system. The proposed system is implemented on a smart phone and evaluated on a student campus environment. The experimental results confirm the ability of the proposed app to switch automatically from an outdoor mode to an indoor mode and to guide the user to requested target destination via the shortest possible route.


Author(s):  
Tan Kim Geok ◽  
Ahmed Wasif Reza ◽  
San Choy Liew

Location Based Services (LBS) has gained increasing popularity in major cities. Due to blocking from man-made structures, the existing Global Positioning System (GPS) could not satisfy LBS applications, especially in street canyon and indoor surroundings. This has lead to the development of Assisted GPS (A-GPS) which can provide better service availability and accuracy gain. In the conventional positioning method, Taylor series expansion is applied to solve non-linear distance equations. This method requires an initial estimation of A-GPS receiver’s position. This paper investigates the positioning method for LBS based on hybrid E-OTD/GNSS. The proposed positioning method is non-Taylor series based. Therefore, it involves less complicated mathematical expansion and substitution. A flexible LBS positioning tool is developed which can generate position information in convenient way. It supports both Taylor series and non-Taylor series based positioning methods. The obtained results showed that the proposed non-Taylor series based positioning method can achieve better positioning accuracy.  


Author(s):  
Nur Rokhman ◽  
Iqnatius Dimas Nugroho

AbstrakSebuah smartphone umunya dilengkapi dengan Global Positioning System (GPS). Pengguna smartphone  disamping dapat mengetahui lokasi dirinya, umumnya juga ingin mengetahui lokasi sekitarnya. Foursquare merupakan salah satu jejaring sosial yang menyediakan layanan berbasis lokasi. Foursquare memiliki fitur check-in, untuk menandai lokasi pengguna.Dalam penelitian ini akan dikembangkan aplikasi pada perangkat dengan sistem operasi Android yang dapat mencari lokasi fasilitas umum di sekitar pengguna dengan memanfaatkan teknologi layanan berbasis lokasi. Aplikasi ini memanfaatkan data dari Foursquare. Hasil pengujian terhadap aplikasi yang dibangun menunjukkan filter data dan sistem auto check-in berjalan dengan baik sehingga duplikasi data dalam Foursquare dapat diminimalkan.  Kata kunci— Layanan berbasis lokasi,  Android, Foursquare, Fasilitas umum  AbstractA smartphone is equipped with Global Positioning System (GPS). A smartphone user may know  the location itself, and usually want to know the surrounding location. Foursquare is a social network that provide location-based services. Foursquare has a check-in feature to mark the location of the user.This research develops applications on devices with Android operating system that can find  location of public facilities around the user by using  location-based services technology. This application uses Foursquare data.The test results showed that the application can filter data and the check-in systems running properly such that duplication of data in Foursquare can be minimized.  Keywords— Location Based Services (LBS), Android, Foursquare, Public Facility


2017 ◽  
Vol 4 (2) ◽  
pp. 120-125 ◽  
Author(s):  
Deden A Wahab ◽  
Eko Budi Setiawan ◽  
Rahma Wahdiniwaty

Creative industries and tourism is one sector that is easiest to improve the condition of the economy of a region. This study discusses the information distribution service usage model of mobile application technology using Location Based Service (LBS) and Global Positioning System (GPS) in the development of creative industries through integration with products of tourist destinations. By using the technology of location based services and global positioning system that will be developed and implemented on the application of geographic information systems and web-based mobile android, then the those creative industries would be material and guidance in utilizing information technology as a means to promote the business of creative industries it has to be more effective and efficient


2014 ◽  
Vol 28 (1) ◽  
pp. 227-242 ◽  
Author(s):  
Robyn L. Raschke ◽  
Anjala S. Krishen ◽  
Pushkin Kachroo

ABSTRACTGiven the increase in global positioning system enabled devices and the ubiquitous ability to connect wirelessly to information through location-based services, organizations are challenged to offer privacy-by-design support systems. Given this, we offer a conceptual framework to capture the impact of the individual component weights of concern for information privacy on behavioral intent of disclosing information. Through a sample of 217 respondents, our PLS model shows that privacy protection beliefs negatively impact concern for collection, unauthorized use, and improper access of information and that privacy risk beliefs positively impact concern for collection and existence of errors; additionally, concern for collection negatively impacts behavioral intentions to disclose information, as does concern for unauthorized use. With such detailed information, firms can address both cognitive and affective consumer concerns, enhance transparency, and communicate multiple services while handling privacy controls as an extension of those services.


Author(s):  
ANIKET H . KHANDAR ◽  
KUNALK. MAHAJAN ◽  
PAVANR. GADEWAR ◽  
AKSHAYJ. GANDHI

Late arrival of help in emergency situation like road accident can lead a person to death. Getting the help depends on time required to alert the helper. There are many Location Based Services available in today’s smartphones that are usually used for the applications like navigation, travelling and many of the commercial applications. Many of the location based services are also in the field of emergency alert system, but each of them needs the human intervention. If the victim gets in the emergency situation like road accident and no help is available, and at the same time if he is not able to make call for help then the things get worst. In such situation the victim can only rely for help on the helper to whom he trusts, because usually the nearby people do not take the responsibility of the situation like road accident which is known as “bystandereffect”. Smart Call System (SCS) is the intellectual call system which will automatically alert the user’s helper without the user intervention. This will be made possible by using the Global Positioning System (GPS), Pull and Push services. Thus the help can be provided to the victim through the SCS.


2021 ◽  
Vol 10 (4) ◽  
pp. 0-0

Intellectual assistant in a location based service (LBS) is considered here as assistive technology in healthcare system for helping users with sensory, physical or intellectual diminished capabilities. The proposed system has the speculative computation module which helps in orientation for predicting the users’ error and alerting them for ensuring a true traveling direction well in advance for the handicapped people of mild to moderate condition of disability in earlier phases of cognitive disabilities. A person with cognitive impairments has the Trajectory (T) associated with them which is a sequenced set of past global positioning system (GPS) points. The implementation and evaluation of the trajectory data mining method have been done for the purpose of achieving the travel route to the user preferences. For the simulation of proposed system, a client server queuing model has been used. The results show the minimization of the overhead with better precision as compared to earlier existing path guiding systems.


2013 ◽  
Vol 302 ◽  
pp. 658-662
Author(s):  
Kuo Wei Su ◽  
Chao Hung Wang ◽  
Po Hung Chen ◽  
Yi Ying Wu

Along with the development of smartphones and tablets world-widely, and the progress of mobile internet and Wi-Fi hotspots, users can acquire information via mobile devices anytime and anywhere.In recent years, Taiwan's tourism is flourishing, more and more foreign travelers come to visit Taiwan.Therefore, providing a user-friendly M-tourism system for foreign travelers can help them to experience more during traveling.We referred the theories of human-computer interface design to develop our M-tourism system—the LBS M-tourism Application.This system not only provides online traveling information, but integrates with location-based services (LBS). The LBS M-tourism Application can use global positioning system (GPS) technology, and provide traveling information or services to the user based on his/ her present location.


Author(s):  
M.Ferni Ukrit ◽  
B. Venkatesh ◽  
Swetabh Suman

<p>In the advancing world of technology, Mobile applications are a rapidly growing segment of the global mobile market. Mobile applications are evolving at a meteor pace to give users a rich and fast user experience. Android operating system supports most applications in today’s technical world. It is an open source operating system which highly satisfies the user’s needs. In this paper, the applications that are location based i.e. the applications that make use of the Global Positioning System (GPS) is discussed. It is a space based satellite navigation system which provides details of time and location in all weather conditions anywhere on or near earth. We introduce PROFILER, a framework for constructing location centric profiles (LCPs), aggregates built over the profiles of users that have visited discrete locations. In addition to a venue centric approach, we propose a decentralized solution for computing real time LCP snapshots over the profiles of collocated users. In our System we find the corresponding location using Global Positioning and Service Provider also. This is to change the profile mode automatically and alarm notification enable automatically when you are going to reach corresponding location or Regular Location.</p>


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