SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories
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Chao Zhang | Jingping Bi | Di Yao | Jian-Hui Huang | Chao Zhang | Jianhui Huang | Jingping Bi | Di Yao
[1] Wei Zhang,et al. PRED: Periodic Region Detection for Mobility Modeling of Social Media Users , 2017, WSDM.
[2] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[3] Lidan Shou,et al. Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories , 2014, Proc. VLDB Endow..
[4] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[5] Luming Zhang,et al. GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media , 2016, KDD.
[6] Lars Schmidt-Thieme,et al. Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression , 2016, CIKM.
[7] Anna Monreale,et al. WhereNext: a location predictor on trajectory pattern mining , 2009, KDD.
[8] Tieniu Tan,et al. Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts , 2016, AAAI.
[9] Jimmy J. Lin,et al. Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams , 2017, ArXiv.
[10] Bruno Martins,et al. Predicting future locations with hidden Markov models , 2012, UbiComp.
[11] Jiawei Han,et al. Mining periodic behaviors for moving objects , 2010, KDD.