Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 570

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Recommendations in location-based social networks: a survey

Bao, Jie, Zheng, Yu, Wilkie, David, Mokbel, Mohamed·2015·GeoInformatica

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10707-014-0220-8

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 126

  1. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734–749 · DOI · Paper page
  2. Agrawal R, Srikant R et al (1994) Fast algorithms for mining association rules. In: Proc. 20th int. conf. very large data bases, VLDB, vol 1215, pp 487–499
  3. Arase Y, Xie X, Duan M, Hara T, Nishio S (2009) A game based approach to assign geographical relevance to web images. In: Proceedings of the 18th international conference on World wide web. ACM, pp 811–820 · doi:10.1145/1526709.1526818
  4. Arase Y, Xie X, Hara T, Nishio S (2010) Mining people’s trips from large scale geo-tagged photos. In: Proceedings of the international conference on multimedia. ACM, pp 133–142 · DOI
  5. Backstrom L, Leskovec J (2011) Supervised random walks: predicting and recommending links in social networks. In: Proceedings of the fourth ACM international conference on Web search and data mining. ACM, pp 635–644 · DOI · Paper page
  6. Backstrom L, Sun E, Marlow C (2010) Find me if you can: improving geographical prediction with social and spatial proximity. In: Proceedings of the 19th international conference on World wide web. ACM, pp 61–70 · DOI · Paper page
  7. Ballatore A, McArdle G, Kelly C, Bertolotto M (2010) Recomap: an interactive and adaptive map-based recommender. In: Proceedings of the 2010 ACM symposium on applied computing. ACM, pp 887–891 · doi:10.1145/1774088.1774273
  8. Bao J, Zheng Y, Mokbel M (2012) Location-based and preference-aware recommendation using sparse geo-social networking data. In: ACM SIGSPATIAL · DOI · Paper page
  9. Borzsony S, Kossmann D, Stocker K (2001) The skyline operator. In: 2001 Proceedings 17th international conference on data engineering. IEEE, pp 421–430 · DOI
  10. Bouidghaghen O, Tamine L, Boughanem M (2011) Personalizing mobile web search for location sensitive queries. In: 2011 12th IEEE international conference on mobile data management (MDM), vol 1. IEEE, pp 110–118 · DOI
  11. Brockmann D, Hufnagel L, Geisel T (2006) The scaling laws of human travel. Nature 439(7075):462–465 · DOI · Paper page
  12. Burt RS (1999) The social capital of opinion leaders. Ann Amer Acad Polit Social Sci 566(1):37–54 · DOI · Paper page
  13. Cao X, Cong G, Jensen CS (2010) Mining significant semantic locations from gps data. Proc VLDB Endowment 3(1–2):1009–1020 · DOI · Paper page
  14. Chakrabarti S, Dom B, Raghavan P, Rajagopalan S, Gibson D, Kleinberg J (1998) Automatic resource compilation by analyzing hyperlink structure and associated text. Comput Netw ISDN Syst 30(1):65–74 · DOI · Paper page
  15. Chang K-P, Wei L-Y, Peng W-C, Yeh M-Y (2011) Discovering personalized routes from tejaectories. In: GIS-LBSN · doi:10.1145/2063212.2063218
  16. Chen J, Geyer W, Dugan C, Muller M, Guy I (2009) Make new friends, but keep the old: recommending people on social networking sites. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 201–210 · DOI · Paper page
  17. Chen Y, Wang W, Liu Z, Lin X (2009) Keyword search on structured and semi-structured data. In: Proceedings of the 2009 ACM SIGMOD international conference on management of data. ACM, pp 1005–1010 · DOI
  18. Cheng Z, Caverlee J, Lee K, Sui DZ (2011) Exploring millions of footprints in location sharing services. ICWSM 2011:81–88
  19. Cho E, Myers SA, Leskovec J (2011) Friendship and mobility: user movement in location-based social networks. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1082–1090 · DOI · Paper page
  20. Chow C-Y, Bao J, Mokbel MF (2010) Towards location-based social networking services. In: The 2nd ACM SIGSPATIAL international workshop on location based social networks · DOI
  21. Couldry N, McCarthy A (2004) Mediaspace: place, scale and culture in a media age. Routledge · doi:10.4324/9780203010228
  22. Cranshaw J, Toch E, Hong J, Kittur A, Sadeh N (2010) Bridging the gap between physical location and online social networks. In: Proceedings of the 12th ACM international conference on Ubiquitous computing. ACM, pp 119–128 · DOI · Paper page
  23. Daly EM, Geyer W (2011) Effective event discovery: using location and social information for scoping event recommendations. In: Proceedings of the fifth ACM conference on recommender systems. ACM, pp 277–280 · doi:10.1145/2043932.2043982
  24. Das AS, Datar M, Garg A, Rajaram S (2007) Google news personalization: scalable online collaborative filtering. In: Proceedings of the 16th international conference on World wide web. ACM, pp 271–280 · DOI · Paper page
  25. Del Prete L (2010) Licia Capra: differs: A mobile recommender service. In: 2010 eleventh international conference on mobile data management (MDM). IEEE, pp 21–26 · doi:10.1109/mdm.2010.22
  26. DeScioli P, Kurzban R, Koch EN, Liben-Nowell D (2011) Best friends alliances, friend ranking, and the myspace social network. Perspect Psychol Sci 6(1):6–8 · DOI
  27. Doytsher Y, Galon B, Kanza Y (2011) Storing routes in socio-spatial networks and supporting social-based route recommendation. In: Proceedings of the 3nd ACM SIGSPATIAL international workshop on location based social networks. ACM · doi:10.1145/2063212.2063219
  28. Eagle N, Pentland A (2006) Reality mining: sensing complex social systems. Personal Ubiquit Comput 10(4):255–268 · DOI · Paper page
  29. Eagle N, Pentland AS (2009) Eigenbehaviors: identifying structure in routine. Behav Ecol Sociobiol 63(7):1057–1066 · DOI · Paper page
  30. Eagle N, Pentland AS, Lazer D (2009) Inferring friendship network structure by using mobile phone data. Proc Natl Acad Sci 106(36):15274–15278 · DOI · Paper page
  31. Ference G, Ye M, Lee W-C (2013) Location recommendation for out-of-town users in location-based social networks. In: Proceedings of the 22nd ACM international conference on conference on information & knowledge management. ACM, pp 721–726 · DOI
  32. Gao H, Tang J, Hu X, Liu H (2013) Exploring temporal effects for location recommendation on location-based social networks. In: Proceedings of the 7th ACM conference on recommender systems. ACM, pp 93–100 · DOI · Paper page
  33. Gao H, Tang J, Liu H (2014) Addressing the cold-start problem in location recommendation using geo-social correlations. Data Min Knowl Discov:1–25 · DOI
  34. Ge Y, Liu Q, Xiong H, Tuzhilin A, Chen J (2011) Cost-aware travel tour recommendation. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 983–991 · DOI
  35. Ge Y, Xiong H, Tuzhilin A, Xiao K, Gruteser M, Pazzani M (2010) An energy-efficient mobile recommender system. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 899–908 · doi:10.1145/1835804.1835918
  36. Getoor L, Diehl CP (2005) Link mining: a survey. ACM SIGKDD Explor Newslett 7(2):3–12 · DOI · Paper page
  37. Gilbert E, Karahalios K (2009) Predicting tie strength with social media. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 211–220 · DOI · Paper page
  38. Goldenberg J, Levy M (2009) Distance is not dead: social interaction and geographical distance in the internet era. arXiv: 0906.3202 · arXiv
  39. Han J-W, Pei J, Yan X-F (2004) From sequential pattern mining to structured pattern mining: a pattern-growth approach. J Comput Sci Technol 19(3):257–279 · DOI
  40. Hao Q, Cai R, Wang C, Xiao R, Yang J-M, Pang Y, Zhang L (2010) Equip tourists with knowledge mined from travelogues. In: Proceedings of the 19th international conference on World wide web. ACM, pp 401–410 · DOI · Paper page
  41. Harding M, Finney J, Davies N, Rouncefield M, Hannon J (2013) Experiences with a social travel information system. In: Proceedings of the 2013 ACM international joint conference on pervasive and ubiquitous computing. ACM, pp 173–182 · DOI
  42. Horozov T, Narasimhan N, Vasudevan V (2006) Using location for personalized poi recommendations in mobile environments. In: International symposium on applications and the internet. SAINT 2006. IEEE, 6–pp · DOI · Paper page
  43. Hu B, Ester M (2013) Spatial topic modeling in online social media for location recommendation. In: Proceedings of the 7th ACM conference on recommender systems. ACM, pp 25–32 · DOI · Paper page
  44. Huang L, Li Q, Yue Y (2010) Activity identification from gps trajectories using spatial temporal pois’ attractiveness. In: Proceedings of the 2nd ACM SIGSPATIAL international workshop on location based social networks. ACM, pp 27–30 · DOI
  45. Hung C-C, Chang C-W, Peng W-C (2009) Mining trajectory profiles for discovering user communities. In: Proceedings of the 2009 international workshop on location based social networks. ACM, pp 1–8 · doi:10.1145/1629890.1629892
  46. Jiang B, Yin J, Zhao S (2009) Characterizing the human mobility pattern in a large street network. Phys Rev E 80(2):021136 · DOI · Paper page
  47. Kawakubo H, Yanai K (2011) Geovisualrank: a ranking method of geotagged imagesconsidering visual similarity and geo-location proximity. In: Proceedings of the 20th international conference companion on World wide web. ACM, pp 69–70 · doi:10.1145/1963192.1963228
  48. Kleinberg JM (1999) Authoritative sources in a hyperlinked environment. J ACM (JACM) 46(5):604–632 · DOI · Paper page
  49. Kodama K, Iijima Y, Guo X, Ishikawa Y (2009) Skyline queries based on user locations and preferences for making location-based recommendations. In: Proceedings of the 2009 international workshop on location based social networks. ACM, pp 9–16 · doi:10.1145/1629890.1629893
  50. Lemire D, Maclachlan A (2005) Slope one predictors for online rating-based collaborative filtering. In: SDM, vol 5. SIAM, pp 1–5 · DOI · Paper page
  51. Leung K W-T, Lee DL, Lee W-C (2011) Clr: a collaborative location recommendation framework based on co-clustering. In: Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 305–314 · doi:10.1145/2009916.2009960
  52. Levandoski J, Sarwat M, Eldawy A, Mokbel M (2012) Lars: a location-aware recommender system. In: IEEE international conference on data engineering · DOI
  53. Li Q, Zheng Y, Xie X, Chen Y, Liu W, Ma W-Y (2008) Mining user similarity based on location history. In: Proceedings of the 16th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, p 34 · DOI · Paper page
  54. Li Y, Zhang Z-L, Bao J (2012) Mutual or unrequited love: Identifying stable clusters in social networks with uni-and bi-directional links. In: Algorithms and models for the web graph. Springer, pp 113–125 · doi:10.1007/978-3-642-30541-2_9
  55. Lian D, Xie X (2011) Learning location naming from user check-in histories. In: ACM SIGSPATIAL. ACM · DOI
  56. Liben-Nowell D, Novak J, Kumar R, Raghavan P, Tomkins A (2005) Geographic routing in social networks. Proc Natl Acad Sci USA 102(33):11623–11628 · DOI · Paper page
  57. Lin Y-R, Sun J, Castro P, Konuru R, Sundaram H, Kelliher A (2009) Metafac: community discovery via relational hypergraph factorization. In: Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 527–536 · DOI · Paper page
  58. Liu B, Fu Y, Yao Z, Xiong H (2013) Learning geographical preferences for point-of-interest recommendation. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1043–1051 · DOI · Paper page
  59. Liu H, Wei L-Y, Zheng Y, Schneider M, Peng W-C (2011) Route discovery from mining uncertain trajectories. In: 2011 IEEE 11th international conference on data mining workshops (ICDMW). IEEE, pp 1239–1242 · doi:10.1109/icdmw.2011.149
  60. Lu C-T, Lei P-R, Peng W-C, Su J (2011) A framework of mining semantic regions from trajectories. In: Database systems for advanced applications. Springer, pp 193–207 · doi:10.1007/978-3-642-20149-3_16
  61. Lu X, Wang C, Yang J-M, Pang Y, Zhang L (2010) Photo2trip: generating travel routes from geo-tagged photos for trip planning. In: Proceedings of the international conference on multimedia. ACM, pp 143–152 · doi:10.1145/1873951.1873972
  62. Masli M, Bouma L, Owen A, Terveen L (2013) Geowiki+ route analysis= improved transportation planning. In: Proceedings of the 2013 conference on computer supported cooperative work companion. ACM, pp 213–218 · doi:10.1145/2441955.2442008
  63. Mishra N, Schreiber R, Stanton I, Tarjan RE (2007) Clustering social networks. In: Algorithms and models for the web-graph. Springer, pp 56–67 · DOI
  64. Mokbel M, Bao J, Eldawy A, Levandoski J, Sarwat M (2011) Personalization, socialization, and recommendations in location-based services 2.0. In: 5th international VLDB workshop on personalized access, profile management and context awareness in databases (PersDB). VLDB
  65. Noulas A, Mascolo C, Frias-Martinez E (2013) Exploiting foursquare and cellular data to infer user activity in urban environments. In: 2013 IEEE 14th international conference on mobile data management (MDM), vol 1. IEEE, pp 167–176 · DOI
  66. Noulas A, Scellato S, Mascolo C, Pontil M (2011) An empirical study of geographic user activity patterns in foursquare. ICWSM 11:70–573
  67. Panagiotis S, Alexis P, Yannis M, Pinar S, Ismail T (2011) Geo-social recommendations based on incremental tensor reduction and local path traversal. In: Proceedings of the 3nd ACM SIGSPATIAL international workshop on location based social networks. ACM
  68. Park M-H, Hong J-H, Cho S-B (2007) Location-based recommendation system using bayesian users preference model in mobile devices. In: Ubiquitous intelligence and computing. Springer, pp 1130–1139 · DOI · Paper page
  69. Alexei P, Christian K (2011) Space-time dynamics of topics in streaming text. In: Proceedings of the 3rd ACM SIGSPATIAL international workshop on location-based social networks. ACM, pp 1–8
  70. Quercia D, Lathia N, Calabrese F, Di Lorenzo G, Crowcroft J (2010) Recommending social events from mobile phone location data. In: International conference on data mining. IEEE, pp 971–976 · DOI · Paper page
  71. Rahimi SM, Wang Xin (2013) Location recommendation based on periodicity of human activities and location categories. In: Advances in knowledge discovery and data mining. Springer, pp 377–389 · doi:10.1007/978-3-642-37456-2_32
  72. Ramaswamy L, Deepak P, Polavarapu R, Gunasekera K, Garg D, Visweswariah K, Kalyanaraman S (2009) Caesar: a context-aware, social recommender system for low-end mobile devices. In: Tenth international conference on mobile data management: systems, services and middleware, 2009. MDM’09. IEEE, pp 338–347 · DOI
  73. Raymond R, Sugiura T, Tsubouchi K (2011) Location recommendation based on location history and spatio-temporal correlations for an on-demand bus system. In: ACM SIGSPATIAL. ACM · DOI
  74. Roth M, Assaf B-D, Deutscher D, Flysher G, Horn I, Leichtberg A, Leiser N, Matias Y, Merom R (2010) Suggesting friends using the implicit social graph. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 233–242 · DOI · Paper page
  75. Sandholm T, Ung H (2011) Real-time, location-aware collaborative filtering of web content. In: Proceedings of the 2011 workshop on context-awareness in retrieval and recommendation. ACM, pp 14–18 · doi:10.1145/1961634.1961638
  76. Sarwat M, Eldawy A, Mokbel MF, Riedl J (2013) Plutus: leveraging location-based social networks to recommend potential customers to venues. In: 2013 IEEE 14th international conference on mobile data management (MDM), vol 1. IEEE, pp 26–35 · doi:10.1109/mdm.2013.13
  77. Scellato S, Mascolo C, Musolesi M, Crowcroft J (2011) Track globally, deliver locally: improving content delivery networks by tracking geographic social cascades. In: Proceedings of the 20th international conference on World wide web. ACM, pp 457–466 · DOI
  78. Schein AI, Popescul A, Ungar LH, Pennock DM (2002) Methods and metrics for cold-start recommendations. In: Proceedings of the 25th annual international ACM SIGIR conference on research and development in information retrieval. ACM, pp 253–260 · DOI · Paper page
  79. Shi Y, Serdyukov P, Hanjalic A, Larson M (2011) Personalized landmark recommendation based on geotags from photo sharing sites. ICWSM 11:622–625
  80. Silva A, Martins B (2011) Tag recommendation for georeferenced photos. In: Proceedings of the 3nd ACM SIGSPATIAL international workshop on location based social networks. ACM · DOI
  81. Singh AP, Gordon GJ (2008) Relational learning via collective matrix factorization. In: Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 650–658 · DOI · Paper page
  82. Srebro N, Jaakkola T et al (2003) Weighted low-rank approximations. In: ICML, vol 3, pp 720–727
  83. Srikant R, Agrawal R (1996) Mining sequential patterns: generalizations and performance improvements. Springer · DOI · Paper page
  84. Tai CH, Yang D-N, Lin LT, Chen MS (2008) Recommending personalized scenic itinerarywith geo-tagged photos. In: 2008 IEEE international conference on multimedia and expo. IEEE, pp 1209–1212
  85. Takeuchi Y, Sugimoto M (2006) Cityvoyager: an outdoor recommendation system based on user location history. In: Ubiquitous intelligence and computing. Springer, pp 625–636 · DOI
  86. Tang KP, Lin J, Hong JI, Siewiorek DP, Sadeh N (2010) Rethinking location sharing: exploring the implications of social-driven vs. purpose-driven location sharing. In: Proceedings of the 12th ACM international conference on ubiquitous computing. ACM, pp 85–94 · DOI
  87. Thomas W (1996) Valente: social network thresholds in the diffusion of innovations. Social Netw 18(1):69–89 · DOI · Paper page
  88. Venetis P, Gonzalez H, Jensen CS, Halevy A (2011) Hyper-local, directions-based ranking of places. Proc VLDB Endowment 4(5):290–301 · DOI
  89. Von Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17 (4):395–416 · DOI · Paper page
  90. Weakliam J, Bertolotto M, Wilson D (2005) Implicit interaction profiling for recommending spatial content. In: Proceedings of the 13th annual ACM international workshop on geographic information systems. ACM, pp 285–294 · doi:10.1145/1097064.1097104
  91. Wei L-Y, Zheng Y, Peng W-C (2012) Constructing popular routes from uncertain trajectories. In: Proceedings of the 18th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 195–203 · DOI · Paper page
  92. Wiese J, Kelley PG, Cranor LF, Dabbish L, Hong JI, Zimmerman J (2011) Are you close with me? are you nearby?: investigating social groups, closeness, and willingness to share. In: Proceedings of the 13th international conference on ubiquitous computing. ACM, pp 197–206 · DOI
  93. Xiang R, Neville J, Rogati M (2010) Modeling relationship strength in online social networks. In: Proceedings of the 19th international conference on World wide web. ACM, pp 981–990 · DOI · Paper page
  94. Xiao X, Zheng Y, Luo Q, Xie X (2010) Finding similar users using category-based location history. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 442–445 · DOI · Paper page
  95. Xiao X, Zheng Y, Luo Q, Xie X (2014) Inferring social ties between users with human location history, vol 5 · DOI
  96. Xu W, Chow C-Y, Zhang J-D (2013) Calba: capacity-aware location-based advertising in temporary social networks. In: Proceedings of the 21st ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 354–363 · doi:10.1145/2525314.2525356
  97. Yang D, Zhang D, Yu Z, Yu Z (2013) Fine-grained preference-aware location search leveraging crowdsourced digital footprints from lbsns. In: Proceedings of the 2013 ACM international joint conference on pervasive and ubiquitous computing. ACM, pp 479–488 · DOI
  98. Ye M, Janowicz K, Mülligann C, Lee W-C (2011) What you are is when you are: the temporal dimension of feature types in location-based social networks. In: Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 102–111 · DOI
  99. Ye M, Shou D, Lee W-C, Yin P, Janowicz K (2011) On the semantic annotation of places in location-based social networks. In: Proceedings of the 17th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 520–528 · DOI · Paper page
  100. Ye M, Yin P, Lee W-C (2010) Location recommendation for location-based social networks. In: Proceedings of the 18th SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 458–461 · DOI · Paper page
  101. Ye M, Yin P, Lee W-C, Lee D-L (2011) Exploiting geographical influence for collaborative point-of-interest recommendation. In: Proceedings of the 34th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 325–334 · DOI · Paper page
  102. Ye Y, Zheng Y, Chen Y, Feng J, Xie X (2009) Mining individual life pattern based on location history. In: Tenth international conference on mobile data management: systems, services and middleware, 2009. MDM’09. IEEE, pp 1–10 · DOI · Paper page
  103. Yin H, Sun Y, Cui B, Hu Z, Chen L (2013) Lcars: a location-content-aware recommender system. In: Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 221–229 · DOI · Paper page
  104. Yin Z, Cao L, Han J, Luo J, Huang TS (2011) Diversified trajectory pattern ranking in geo-tagged social media. In: SDM. SIAM, pp 980–991 · doi:10.1137/1.9781611972818.84
  105. Yin Z, Cao L, Han J, Zhai C, Huang T (2011) Geographical topic discovery and comparison. In: Proceedings of the 20th international conference on World wide web. ACM, pp 247–256 · DOI · Paper page
  106. Yin Z, Gupta M, Weninger T, Han J (2010) Linkrec: a unified framework for link recommendation with user attributes and graph structure. In: Proceedings of the 19th international conference on World wide web. ACM, pp 1211–1212 · doi:10.1145/1772690.1772879
  107. Ying JJ-C, Lee W-C, Ye M, Chen TC-Y, Tseng VS. (2011) User association analysis of locales on location based social networks. In: GIS-LBSN · doi:10.1145/2063212.2063214
  108. Ying JJ-C, Lu EH-C, Kuo W-N, Tseng VS (2012) Urban point-of-interest recommendation by mining user check-in behaviors. In: Proceedings of the ACM SIGKDD international workshop on urban computing. ACM, pp 63–70 · DOI
  109. Ying JJ-C, Lu EH-C, Lee W-C, Weng T-C, Tseng VS (2010) Mining user similarity from semantic trajectories. In: Proceedings of the 2nd ACM SIGSPATIAL international workshop on location based social networks. ACM, pp 19–26 · DOI · Paper page
  110. Yoon H, Zheng Y, Xie X, Woo W (2010) Smart itinerary recommendation based on user-generated gps trajectories. In: Ubiquitous intelligence and computing. Springer, pp 19–34 · doi:10.1007/978-3-642-16355-5_5
  111. Yoon H, Zheng Y, Xie X, Woo W (2012) Social itinerary recommendation from user-generated digital trails. Personal Ubiquit Comput 16(5):469–484 · DOI
  112. Yu X, Pan A, Tang L-A, Li Z, Han J (2011) Geo-friends recommendation in gps-based cyber-physical social network. In: 2011 International conference on advances in social networks analysis and mining (ASONAM). IEEE, pp 361–368 · doi:10.1109/asonam.2011.118
  113. Zhang D, Chee YM, Mondal A, Tung A, Kitsuregawa M (2009) Keyword search in spatial databases: towards searching by document. In: IEEE 25th international conference on data engineering, 2009. ICDE’09. IEEE, pp 688–699 · doi:10.1109/icde.2009.77
  114. Zhang J-D, Chow C-Y (2013) igslr: personalized geo-social location recommendation: a kernel density estimation approach. In: Proceedings of the 21st ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 324–333 · DOI · Paper page
  115. Zheng V, Cao B, Zheng Y, Xie X, Yang Q (2010a) Collaborative filtering meets mobile recommendation: a user-centered approach. In: AAAI conference on artificial intelligence · DOI · Paper page
  116. Zheng VW, Zheng Y, Xie X, Yang Q (2010) Collaborative location and activity recommendations with gps history data. In: Proceedings of the 19th international conference on World wide web. ACM, pp 1029–1038 · DOI · Paper page
  117. Zheng VW, Zheng Y, Xie X, Yang Q (2012) Towards mobile intelligence: learning from gps history data for collaborative recommendation. Artif Intell 184:17–37 · DOI · Paper page
  118. Zheng VW, Zheng Y, Yang Q (2009) Joint learning user’s activities and profiles from gps data. In: Proceedings of the 2009 international workshop on location based social networks. ACM, pp 17–20 · DOI
  119. Zheng Y, Capra L, Wolfson O, Yang H (2014) Urban computing: concepts, methodologies, and applications. ACM Trans Intell Syst Technol (ACM TIST) · DOI · Paper page
  120. Zheng Y, Chen Y, Xie X, Ma W-Y (2009c) GeoLife2.0: a location-based social networking service. In: MDM · DOI · Paper page
  121. Zheng Y, Xie X (2010) Learning location correlation from gps trajectories. In: 2010 Eleventh international conference on mobile data management (MDM). IEEE, pp 27–32 · DOI
  122. Zheng Y, Xie X (2011) Learning travel recommendations from user-generated gps traces. ACM Trans Intell Sys Technol (TIST) 2(1):2
  123. Zheng Y, Zhang L, Ma Z, Xie X, Ma W-Y (2011) Recommending friends and locations based on individual location history. ACM Trans Web (TWEB) 5(1):5
  124. Zheng Y, Zhang L, Xie X, Ma W-Y (2009) Mining correlation between locations using human location history. In: Proceedings of the 17th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 472–475 · DOI
  125. Zheng Y, Zhang L, Xie X, Ma W-Y (2009) Mining interesting locations and travel sequences from gps trajectories. In: Proceedings of the 18th international conference on World wide web. ACM, pp 791–800 · DOI · Paper page
  126. Zheng Y, Zhou X (2011) Computing with spatial trajectories. Springer · DOI · Paper page

Cited by

See all 570

Metadata

Authors
Bao, J., Zheng, Y., Wilkie, D., & Mokbel, M.
Venue
GeoInformatica
Published
2015-02-06
Volume
19
Issue
3
Pages
525-565
ISSN
  • 1384-6175 (ISSN-L)
  • 1573-7624
OpenAlex
W1972436494
Cited by
570
References
5
FWCI
220.73
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Recommendations in location-based social networks: a survey. https://app.cochat.ai/papers/10.1007/s10707-014-0220-8
The paper
Bao, J., Zheng, Y., Wilkie, D., & Mokbel, M. (2015). Recommendations in location-based social networks: a survey. GeoInformatica. https://doi.org/10.1007/s10707-014-0220-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.