ABSTRACT
POI is a kind of geographical location information that can reflect the individual interest points of consumers. By sampling the POI photo data in Shanghai within 24 hours and combining with latitude and longitude information, this study analyzes the distribution of tourists in different time periods, and summarizes the behavior of tourists under the line.
- B.Q LI, Y.F LING, M TIAN, S.Y ZHENG. 2018. Design and implementation of sugarcane growth monitoring system based on RFID and ZigBee. International Journal of Online Engineering, 3(14), 134.Google Scholar
- B.Q LI, M TIAN, S.Y ZHENG, Y.F LING. 2018. Design and research of picking manipulator obstacle avoidance system based on IOT. International Journal of Online Engineering, 3(14), 96.Google ScholarCross Ref
- B.Q LI, Y.F LING, H.Y ZHANG, S.Y ZHENG. 2016. The Design and Realization of Cherry Tomato Harvesting Robot Based on IOT. International Journal of Online Engineering, 12(12), 23, (2016).Google Scholar
- B.Q LI, W.L GUAN, S.Y Zheng, X.G Yue. 2015. OPTIMISATION DESIGN OF CORN PRECISION SEEDER BASED ON MULTI-ROUTE AND MULTICHANNEL CONTROL. Journal of The Balkan Tribological Association, 21(4A), 1215, (2015).Google Scholar
- U. A. SHAABAN, M. T. AFIFY, G. E. HASSAN, Z. A. EL-HADDAD: Development of a Vacuum Precision Seeder Prototype for Onion Seeds. Misr J. Ag. Eng, 26(4), 1751, (2009).Google Scholar
- B.Q LI., et al., Internet of Things-based Simulation Study on Lijiang River Water Environment Monitoring. Journal of Coastal Research, 82 (2018), 3, 106--113Google Scholar
- Y. A. SHAABAN: Development of an Appropriate Pneumatic Planter for Small Holding in Egypt. Colg Agric, Bha Uni, 46(8), 1999, (2010).Google Scholar
- P. K. AGARWAL, J. BASCH, L. J. GUIBAS, J. HERSHBERGER, L. ZHANG: Deformable Free Space Tiling for Kinetic Collision Detection. Proc. 4th Wsp Alg Fd. Rbt, 54(3), 245, (2000).Google Scholar
- P. K. AGARWAL, J. ERICKSON, L. J. GUIBAS: Kinetic Binary Space Partitions for Intersecting Segments And Disjoint Triangles. Proc. 9th ACM-SIAM, 44(6), 578, (1998). Google ScholarDigital Library
- Z.B. BARUT, A. OZMERZI: Effect of Different Operating Parameters on Seed Holding in the Single Seed Metering Unit of a Pneumatic Planter. Turk. J. Agric, 28, 435, (2004).Google Scholar
- M. J. ATALLAH: Some Dynamic Computational Geometry Problems. Comp. Math. Appl, 11(12), 1171 (1985).Google Scholar
- J. BARRAQUAND, J. C. LATOMBE 1991. Robot Motion Planning: A Distributed Representation Approach. Int. J. Rbt. Res, 10, 628. Google ScholarDigital Library
- M. BERN, P. PLASSMANN. 2000. Mesh generation. In J.-R. Sack and J. Urrutia, editors, Handbook of Computational Geometry. Els Sci Pub B.V. Ams, 16(4), 566.Google Scholar
- A. VASS-VARNAI, R. BORNOFF. 2000. Thermal Simulations and Measurements - a Combined Approach for Package Characterization. ICEP, Jpn, 76(4), 886.Google Scholar
- V. THIYAGARAJAN, K. KALAICHELVAN, K.SRINIVASAN, S. VENUGOPAL, R. VIJAY.2015. Influence of Specific Heat Capacity on Hybrid Non-asbestos Brake Pad Formulation. J. Balkan Tribol. Asc, 10(8), 102.Google Scholar
- L. YANG, X.T. HE, T. CUI, D. X. ZHANG, S. SHI, R. ZHANG, W. MANTAO.2015.Development of Mechatronic Driving System For Seed Meters Equipped on Conventional Precision Corn Planter. Int J Agric & Biol Eng, 8(4), 1.Google Scholar
- D. KARAYEL, Z.B. BARUT, A. OZMERZI.2004. Mathematical Modeling of Vacuum Pressure on a Precision Seeder. Byst. Eng, 87(4), 437.Google ScholarCross Ref
- X.G. YUE, G. ZHANG, Q. WU, F. LI, X.F. CHEN, G.F. REN, M. LI. 2015. Wearing Prediction of Stellite Alloys Based on Opposite Degree Algorithm. Rare Metals, 34(4), 125.Google ScholarCross Ref
- Z. ZONGMING. 2013. Research on Wearing Prediction of the Cylinder Surface Based on Time Series Autoregressive (AR) Model. ICMTMA, Hong Kong, 12(1), 960. Google ScholarDigital Library
- S. SPINU.2015. Numerical Simulation of Viscoelastic Contacts. Part 1. Algorithm Overview. J. Balkan Tribol. Assoc, 10(5), 269.Google Scholar
Index Terms
- A Study on the Spatiotemporal Distribution of POI Tourists
Recommendations
POI recommendation through cross-region collaborative filtering
Recommending points of interest (POIs) to a user according to the user's current location and past check-in activities is the focus in this paper. Previously proposed probabilistic and topic model-based methods predict the POIs based on the distribution ...
POI Recommendation Algorithm for Mobile Social Network Based on User Perference Tracking
CONF-CDS 2021: The 2nd International Conference on Computing and Data SciencePoint of Interest (POI) recommendation is to use the user check-in data in location-based Social Networks (LBSN) to predict the next Location that the user will visit. With the rapid development of LBSN, users' check-in information (rating information, ...
Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation
We make plans to provid a point-of-interests (POI) recommendation method for location-based social networks (LBSNs) in the paper. LBSNs contain a special three layers network structure based on relevance of location information in the physical world. ...
Comments