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Urban point-of-interest recommendation by mining user check-in behaviors.

, , , and . UrbComp@KDD, page 63-70. ACM, (2012)

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Followee recommendation in asymmetrical location-based social networks., , and . UbiComp, page 988-995. ACM, (2012)A Self-Attention Model for Next Location Prediction Based on Semantic Mining., and . ISPRS Int. J. Geo Inf., 12 (10): 420 (October 2023)Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints., , and . Mobile Data Management (1), page 152-161. IEEE Computer Society, (2011)Personalized trip recommendation with multiple constraints by mining user check-in behaviors., , and . SIGSPATIAL/GIS, page 209-218. ACM, (2012)Integration of Convolutional Neural Network and Error Correction for Indoor Positioning., and . ISPRS Int. J. Geo Inf., 9 (2): 74 (2020)A Parking Occupancy Prediction Approach Based on Spatial and Temporal Analysis., and . ACIIDS (1), volume 10751 of Lecture Notes in Computer Science, page 500-509. Springer, (2018)Visual Localization Based on Deep Learning - Take Southern Branch of the National Palace Museum for Example., and . ACIIDS (1), volume 13757 of Lecture Notes in Computer Science, page 39-50. Springer, (2022)Mining mobile application sequential patterns for usage prediction., , and . GrC, page 185-190. IEEE Computer Society, (2014)Mining temporal mobile sequential patterns in location-based service environments., , and . ICPADS, page 1-8. IEEE Computer Society, (2007)Group Trip Planning Approach with Travel Time and Ratio Constraints., , and . ACIIDS (Companion), volume 1863 of Communications in Computer and Information Science, page 193-204. Springer, (2023)