Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2013
DOI: 10.1145/2492517.2492652
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A HITS-based POI recommendation algorithm for location-based social networks

Abstract: Location-Based Social Networks (LBSNs), (also called as Geo-Social Networks), has been attracting more and more users by providing services that integrate social activities with location information. LBSN systems usually provide support for indicating various Points of Interest (POIs) but there is no straightforward rating mechanism for POIs in most LBSNs [1]. POI recommendations in LBSNs, thus, is an important and challenging research topic. In this paper, we first investigate the dataset crawled from Foursqu… Show more

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Cited by 30 publications
(15 citation statements)
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“…The datasets for POI recommendations usually include global-positioning-system-(GPS-) based trajectory and the check-in data of LBSNs [14]. While numerous studies [15][16][17] have developed POI recommendations based on GPS trajectory data, these approaches first mined the sequence of semantic POIs visited, which is represented by the check-in data. Additionally, check-in data provide additional information markers (e.g., social interactions, POI types, or semantics in the spatial layout) that are especially useful in capturing latent relationships among users of the same POI type.…”
Section: Related Workmentioning
confidence: 99%
“…The datasets for POI recommendations usually include global-positioning-system-(GPS-) based trajectory and the check-in data of LBSNs [14]. While numerous studies [15][16][17] have developed POI recommendations based on GPS trajectory data, these approaches first mined the sequence of semantic POIs visited, which is represented by the check-in data. Additionally, check-in data provide additional information markers (e.g., social interactions, POI types, or semantics in the spatial layout) that are especially useful in capturing latent relationships among users of the same POI type.…”
Section: Related Workmentioning
confidence: 99%
“…Hyperlink-Induced Topic Search (HITS) is a link analysis algorithm also known as hub and authorities, wherein the authority value estimates the value of the content of a page and the hub value estimates the value of its links to other pages. In [7] proposal for a HITS based POI recommendation algorithm is discussed. It incorporates the impact of the social relationships on recommendations.…”
Section: Related Work On Recommendation Systemsmentioning
confidence: 99%
“…In [7], the authors investigated various features for location prediction on LBSNs, and reported that the number of check-ins made by friends is a significant predictor. In [23], the authors proposed a HITS-based POI recommendation algorithm to recommend POIs to LBSN users with the consideration of social relationships. In [36], the checkin information from nearby friends was utilized for location recommendation while other users were ignored.…”
Section: Related Workmentioning
confidence: 99%