Mining Human Mobility in Location-Based Social Networks
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[1] Yi Zhang,et al. Is it time for a career switch? , 2013, WWW.
[2] S. Barnes,et al. Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .
[3] Anna Monreale,et al. WhereNext: a location predictor on trajectory pattern mining , 2009, KDD.
[4] Xing Xie,et al. Learning location naming from user check-in histories , 2011, GIS.
[5] Enhong Chen,et al. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction , 2015 .
[6] Kyumin Lee,et al. Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.
[7] Wen-Ning Kuo,et al. Urban point-of-interest recommendation by mining user check-in behaviors , 2012, UrbComp '12.
[8] Jussara M. Almeida,et al. Detection of spam tipping behaviour on foursquare , 2013, WWW.
[9] Arno Scharl,et al. Diffusion and success factors of mobile marketing , 2005, Electron. Commer. Res. Appl..
[10] Chandana Unnithan,et al. Mobile Location Based Services , 2005 .
[11] Tara Matthews,et al. Location disclosure to social relations: why, when, & what people want to share , 2005, CHI.
[12] Henry A. Kautz,et al. Finding your friends and following them to where you are , 2012, WSDM '12.
[13] Huan Liu,et al. Exploiting vulnerability to secure user privacy on a social networking site , 2011, KDD.
[14] Ravi Jain,et al. Evaluating location predictors with extensive Wi-Fi mobility data , 2004, INFOCOM.
[15] Lorrie Faith Cranor,et al. Locaccino: a privacy-centric location sharing application , 2010, UbiComp '10 Adjunct.
[16] Lorrie Faith Cranor,et al. Understanding and capturing people’s privacy policies in a mobile social networking application , 2009, Personal and Ubiquitous Computing.
[17] Xing Xie,et al. Inferring social ties between users with human location history , 2014, J. Ambient Intell. Humaniz. Comput..
[18] Mao Ye,et al. Location recommendation for location-based social networks , 2010, GIS '10.
[19] Huan Liu,et al. Modeling temporal effects of human mobile behavior on location-based social networks , 2013, CIKM.
[20] Xing Xie,et al. Mining interesting locations and travel sequences from GPS trajectories , 2009, WWW '09.
[21] Cecilia Mascolo,et al. NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems , 2011, Pervasive.
[22] Huan Liu,et al. gSCorr: modeling geo-social correlations for new check-ins on location-based social networks , 2012, CIKM.
[23] Injong Rhee,et al. On the levy-walk nature of human mobility , 2011, TNET.
[24] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[25] B. Wellman,et al. Does Distance Matter in the Age of the Internet? , 2008 .
[26] Nguyen Thanh,et al. A Gaussian Mixture Model for Mobile Location Prediction , 2007, The 9th International Conference on Advanced Communication Technology.
[27] Michael R. Lyu,et al. Where You Like to Go Next: Successive Point-of-Interest Recommendation , 2013, IJCAI.
[28] Krzysztof Janowicz,et al. What you are is when you are: the temporal dimension of feature types in location-based social networks , 2011, GIS.
[29] Yutaka Matsuo,et al. Earthquake shakes Twitter users: real-time event detection by social sensors , 2010, WWW '10.
[30] Xing Xie,et al. Mining Check-In History for Personalized Location Naming , 2014, TIST.
[31] Jacob Goldenberg,et al. Distance Is Not Dead: Social Interaction and Geographical Distance in the Internet Era , 2009, ArXiv.
[32] Anind K. Dey,et al. Who wants to know what when? privacy preference determinants in ubiquitous computing , 2003, CHI Extended Abstracts.
[33] Liang Tang,et al. Using data mining techniques to address critical information exchange needs in disaster affected public-private networks , 2010, KDD.
[34] Nadia Magnenat-Thalmann,et al. Time-aware point-of-interest recommendation , 2013, SIGIR.
[35] Yizhou Sun,et al. LCARS: a location-content-aware recommender system , 2013, KDD.
[36] Cecilia Mascolo,et al. Mining User Mobility Features for Next Place Prediction in Location-Based Services , 2012, 2012 IEEE 12th International Conference on Data Mining.
[37] Cecilia Mascolo,et al. An Empirical Study of Geographic User Activity Patterns in Foursquare , 2011, ICWSM.
[38] Hussein Dia,et al. An object-oriented neural network approach to short-term traffic forecasting , 2001, Eur. J. Oper. Res..
[39] Jiliang Tang,et al. Mobile Location Prediction in Spatio-Temporal Context , 2012 .
[40] Lee Humphreys,et al. Mobile Social Networks and Social Practice: A Case Study of Dodgeball , 2007, J. Comput. Mediat. Commun..
[41] Jasmine Novak,et al. Geographic routing in social networks , 2005, Proc. Natl. Acad. Sci. USA.
[42] Dino Pedreschi,et al. Human mobility, social ties, and link prediction , 2011, KDD.
[43] James Caverlee,et al. Location prediction in social media based on tie strength , 2013, CIKM.
[44] Zhu Wang,et al. A sentiment-enhanced personalized location recommendation system , 2013, HT.
[45] Cecilia Mascolo,et al. Distance Matters: Geo-social Metrics for Online Social Networks , 2010, WOSN.
[46] Xin Wang,et al. A Study of Recommending Locations on Location-Based Social Network by Collaborative Filtering , 2012, Canadian Conference on AI.
[47] Huan Liu,et al. Twitter Data Analytics , 2013, SpringerBriefs in Computer Science.
[48] John Zimmerman,et al. I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application , 2011, CHI.
[49] Michael F. Goodchild,et al. Please Scroll down for Article International Journal of Digital Earth Crowdsourcing Geographic Information for Disaster Response: a Research Frontier Crowdsourcing Geographic Information for Disaster Response: a Research Frontier , 2022 .
[50] Mao Ye,et al. Exploring Social Influence for Recommendation - A Probabilistic Generative Model Approach , 2011, ArXiv.
[51] Hao Wang,et al. Location recommendation in location-based social networks using user check-in data , 2013, SIGSPATIAL/GIS.
[52] Eric Sun,et al. Location3: How Users Share and Respond to Location-Based Data on Social , 2011, ICWSM.
[53] Huan Liu,et al. Exploring Social-Historical Ties on Location-Based Social Networks , 2012, ICWSM.
[54] Cecilia Mascolo,et al. Socio-Spatial Properties of Online Location-Based Social Networks , 2011, ICWSM.
[55] Huan Liu,et al. Exploring temporal effects for location recommendation on location-based social networks , 2013, RecSys.
[56] Tu Minh Phuong,et al. A Gaussian Mixture Model for Mobile Location Prediction , 2007, 2007 IEEE International Conference on Research, Innovation and Vision for the Future.
[57] Jiawei Han,et al. Geographical topic discovery and comparison , 2011, WWW.
[58] Alexei Pozdnoukhov,et al. Space-time dynamics of topics in streaming text , 2011, LBSN '11.
[59] Taghi M. Khoshgoftaar,et al. A Survey of Collaborative Filtering Techniques , 2009, Adv. Artif. Intell..
[60] Wei-Ying Ma,et al. Recommending friends and locations based on individual location history , 2011, ACM Trans. Web.
[61] Mohamed F. Mokbel,et al. Location-based and preference-aware recommendation using sparse geo-social networking data , 2012, SIGSPATIAL/GIS.
[62] David Lazer,et al. Inferring friendship network structure by using mobile phone data , 2009, Proceedings of the National Academy of Sciences.
[63] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[64] Huiji Gao,et al. Harnessing the Crowdsourcing Power of Social Media for Disaster Relief , 2011, IEEE Intelligent Systems.
[65] Henry A. Kautz,et al. Modeling Spread of Disease from Social Interactions , 2012, ICWSM.
[66] Huan Liu,et al. Data Analysis on Location-Based Social Networks , 2014 .
[67] Huan Liu,et al. eTrust: understanding trust evolution in an online world , 2012, KDD.
[68] Stuart J. Barnes,et al. Mobile marketing: the role of permission and acceptance , 2004, Int. J. Mob. Commun..
[69] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[70] Jie Tang,et al. Recommendation in social media: recent advances and new frontiers , 2014, KDD.
[71] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[72] Krishna P. Gummadi,et al. Geographic Dissection of the Twitter Network , 2012, ICWSM.
[73] Yee Whye Teh,et al. A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes , 2006, ACL.
[74] Hui Xiong,et al. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness , 2013, SDM.
[75] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[76] Gang Chen,et al. Evaluating geo-social influence in location-based social networks , 2012, CIKM.
[77] Michael R. Lyu,et al. Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks , 2012, AAAI.
[78] Alexander J. Smola,et al. Discovering geographical topics in the twitter stream , 2012, WWW.
[79] Bo Hu,et al. Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks , 2014, 2014 IEEE International Conference on Data Mining.
[80] Ravi Kumar,et al. Influence and correlation in social networks , 2008, KDD.
[81] Hui Xiong,et al. Learning geographical preferences for point-of-interest recommendation , 2013, KDD.
[82] Brendan T. O'Connor,et al. A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.
[83] Guanling Chen,et al. A Survey of Context-Aware Mobile Computing Research , 2000 .
[84] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[85] Chi-Yin Chow,et al. iGSLR: personalized geo-social location recommendation: a kernel density estimation approach , 2013, SIGSPATIAL/GIS.
[86] Dimitris Plexousakis,et al. Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences , 2005, iTrust.
[87] Guoliang Xue,et al. Checking in without worries: Location privacy in location based social networks , 2013, 2013 Proceedings IEEE INFOCOM.
[88] Lorrie Faith Cranor,et al. Who's viewed you?: the impact of feedback in a mobile location-sharing application , 2009, CHI.
[89] Craig S. Fleisher,et al. Analysis Without Paralysis: 10 Tools to Make Better Strategic Decisions , 2008 .
[90] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[91] Xing Xie,et al. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation , 2014, KDD.
[92] James B. D. Joshi,et al. A HITS-based POI recommendation algorithm for Location-Based Social Networks , 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).
[93] Liang Tang,et al. Ensemble contextual bandits for personalized recommendation , 2014, RecSys '14.
[94] Fabio Porto,et al. A conceptual view on trajectories , 2008, Data Knowl. Eng..
[95] Guanling Chen,et al. Analysis of a Location-Based Social Network , 2009, 2009 International Conference on Computational Science and Engineering.
[96] Nicholas Jing Yuan,et al. Mining novelty-seeking trait across heterogeneous domains , 2014, WWW.
[97] Reza Zafarani,et al. Social Media Mining: An Introduction , 2014 .
[98] Rob J Hyndman,et al. Another look at measures of forecast accuracy , 2006 .
[99] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[100] Mao Ye,et al. Exploiting geographical influence for collaborative point-of-interest recommendation , 2011, SIGIR.
[101] Frances Cairncross. The death of distance : how the communications revolution will change our lives , 1997 .
[102] Lars Backstrom,et al. Find me if you can: improving geographical prediction with social and spatial proximity , 2010, WWW '10.
[103] Norman M. Sadeh,et al. The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.
[104] Xing Xie,et al. Collaborative location and activity recommendations with GPS history data , 2010, WWW '10.
[105] Xing Xie,et al. Mining user similarity based on location history , 2008, GIS '08.
[106] Daniel Gatica-Perez,et al. Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns , 2012, MUM.
[107] Martin Ester,et al. Spatial topic modeling in online social media for location recommendation , 2013, RecSys.
[108] Chunyan Miao,et al. Personalized point-of-interest recommendation by mining users' preference transition , 2013, CIKM.
[109] Huan Liu,et al. Personalized location recommendation on location-based social networks , 2014, RecSys '14.
[110] Ed H. Chi,et al. Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles , 2011, CHI.
[111] Huan Liu,et al. Text Analytics in Social Media , 2012, Mining Text Data.