標題: A Grid-based Successive Point-of-Interest Recommendation Method
作者: Gau, Hung-Yi
Lu, Yi-Shu
Huang, Jiun-Long
資訊工程學系
Department of Computer Science
關鍵字: Point-of-Interest;Recommendation system;Location-based social networks
公開日期: 1-一月-2017
摘要: With the increasing popularity of location-based social networks (LBSNs), users are able to share the pointof- interests (POIs) they visited by check-ins. By analyzing the users' historical check-in records, POI recommendation can help users get better visiting experiences by recommending POIs which users may be interested in. Although recent successive POI recommendation methods consider geographical influence by measuring distances among POIs, most of them ignore the influence of the regions where the POIs are located. Therefore, we propose a grid-based successive POI recommendation method, named UGSE-LR, to take the regional influence into consideration when recommending POIs. UGSE-LR first splits an area into grids for estimating regional influence. Then, UGSE-LR applies Edge-weighted Personalized PageRank (EdgePPR) for modeling the successive transitions among POIs. Finally, UGSE-LR fuses user preference, regional preference and successive transition preference into a unified recommendation framework. Experimental results on two real LBSN datasets show that our method is more accurate than the state-of-the-art successive POI recommendation methods in terms of precision and recall.
URI: http://hdl.handle.net/11536/147134
期刊: 2017 10TH INTERNATIONAL CONFERENCE ON UBI-MEDIA COMPUTING AND WORKSHOPS (UBI-MEDIA)
起始頁: 430
結束頁: 435
顯示於類別:會議論文