关注点推荐算法的霍克斯过程法
关注点推荐算法的霍克斯过程法
张国明1,2，王俊淑3,4，江 南3,4，盛业华3,4
【摘 要】Abstract： Point-of-interest (POI) recommendation is a crucial personalized location rvice in LBSNs.To cope with the complexity and extreme sparsity of urs check-in data，we propod a context-aware collaborative filtering POI recommendation algorithm bad on Hawkes process (HWCF).First，we analyzed urs’ behavior characteristics according to the geographic spatial clustering phenomenon of urs’ check-in POI，and filtered urs’ candidate POI.Then，we utilized Hawkes process to model candidate POI.Integrated different context information，such as spatial
distance，spatial quence transformation，temporal，urs’ preferences，POI popularity， compute the visiting probability of candidate POI for every ur，and then obtained the top-k recommendation list by sorting the visiting probability.Finally，we di
scusd the range and adjustment of parameters in HWCF algorithm.Experimental results show that HWCF achieves better performance compared to other advanced POI recommendation algorithms.
【期刊名称】测绘学报
【年(卷),期】2018(047)009
【总页数】9
【关键词】Key words： point-of-interest recommendation; location bad social network; Hawkes process
Foundation support： The National Natural Science Foundation of China (No. 41631175)；The National Natural Science Foundation of Jiangsu Province (No.
BK20171037)；The Program of Natural Science Rearch of Jiangsu colleges and Universities (No. 17KJB170010)
基金项目：国家自然科学基金(41631175)；江苏省自然科学基金(BK20171037)；江苏省高校自然科学研究面上项目(17KJB420003)
引文格式：张国明，王俊淑，江南,等.关注点推荐算法的霍克斯过程法[J].测绘学报
，2018,47(9)：1261-1269. DOI:10.11947/j.AGCS.2018.20170552.
ZHANG Guoming,WANG Junshu,JIANG Nan,et al.A Point-of-interest Recommendation Method Bad on Hawkes Process[J]. Acta Geodaetica et Cartographica
Sinica,2018,47(9):1261-1269. DOI:10.11947/j.AGCS.2018.20170552.
