Smart City Gnosys

Smart city article details

Title	An Investigation On Personalized Point-Of-Interest Recommender System For Location-Based Social Networks In Smart Cities
ID_Doc	8656
Authors	Asik Ibrahim N.; Rajalakshmi E.; Vijayakumar V.; Elakkiya R.; Subramaniyaswamy V.
Year	2021
Published	Advanced Sciences and Technologies for Security Applications
DOI	http://dx.doi.org/10.1007/978-3-030-72139-8_13
Abstract	The swift growth in usage of Location-based social networks (LBSNs) has driven to the availability of a large volume of check-in data of the users. This provides a great opportunity to provide various location-aware utilities in the Smart Cities. Future will be smart, each and every places/location will be connected to the network and it will make the cities smart and advanced. One such service includes the Point-of-Interest recommender that is used to recommend the venues where a person has not been before. Various methods have been lately analyzed and implemented to provide this service. By the Location based POI method in smart cities will provide ultimate recommendation based on the social network interactivity in the smart cities. This chapter aims to provide various techniques used in POI recommendation systems for LBSNs. We aim to propose the implementation of an adaptive POI recommendation algorithm in this chapter. The proposed method incorporates the spatial feature along with the user activity and social feature. This model is implemented on a large-scale check-in dataset, Foursquare. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Location-based social networks; Point-of-interest; Recommender system; Smart cities; Smart network

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