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CAVE-SC: Inferring categories for venues using check-ins
16 references·0 citing·48 second hop
CAVE-SC: Inferring categories for venues using check-ins (2022)CAVE-SC: Inferring categories for venues …Embedding Hierarchical Structures for Venue Category Representation (2021)Embedding Hierarchical Struct…Multi-context embedding based personalized place semantics recognition (2020)Multi-context embedding based…Modeling Spatial Trajectories With Attribute Representation Learning (2020)Modeling Spatial Trajectories…Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Revisiting User Mobility and …Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling (2018)Unsupervised Learning of Pars…DeepMove: Learning Place Representations through Large Scale Movement Data (2018)DeepMove: Learning Place Repr…Semantic Annotation for Places in LBSN through Graph Embedding (2017)Semantic Annotation for Place…DeepCity: A Feature Learning Framework for Mining Location Check-Ins (2017)DeepCity: A Feature Learning …A Deep Multi-Modal Fusion Approach for Semantic Place Prediction in Social Media (2017)A Deep Multi-Modal Fusion App…Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Participatory Cultural Mappin…A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs (2016)A Spatial-Temporal Topic Mode…A General Multi-Context Embedding Model for Mining Human Trajectory Data (2016)A General Multi-Context Embed…What is this place? Inferring place categories through user patterns identification in geo-tagged tweets (2014)What is this place? Inferring…Placer (2013)PlacerFeature engineering for semantic place prediction (2013)Feature engineering for seman…On the semantic annotation of places in location-based social networks (2011)On the semantic annotation of…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Location-Based Social Networks: Users (2011)Inferring anchor links across multiple heterogeneous social networks (2013)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Learning significant locations and predicting user movement with GPS (2003)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Choosing the Right Home Location Definition Method for the Given Dataset (2015)Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes (2018)Science and Human Behavior (1953)Power-Law Distributions in Empirical Data (2009)Assessing social anxiety using gps trajectories and point-of-interest data (2016)Power-law distributions in empirical data (2018)Computational socioeconomics (2019)Birds of a Feather: Homophily in Social Networks (2001)Inferring friendship network structure by using mobile phone data (2009)Friendship and mobility (2011)Multi-Context Integrated Deep Neural Network Model for Next Location Prediction (2018)From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data (2019)Location2vec: A Situation-Aware Representation for Visual Exploration of Urban Locations (2019)ArnetMiner (2008)Comparing Twitter and Traditional Media Using Topic Models (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs (2023)TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation (2023)"I'm eating a sandwich in Glasgow" (2011)Discovering places of interest in everyday life from smartphone data (2012)Discovering and Characterizing Mobility Patterns in Urban Spaces (2016)Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data (2017)Using Individual GPS Trajectories to Explore Foodscape Exposure: A Case Study in Beijing Metropolitan Area (2018)TRAJECTORIES OF CRIME AT PLACES: A LONGITUDINAL STUDY OF STREET SEGMENTS IN THE CITY OF SEATTLE* (2004)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Natural Scales in Geographical Patterns (2017)Predicting environmental features by learning spatiotemporal embeddings from social media (2019)Artificial intelligence & crime prediction: A systematic literature review (2022)A New Status Index Derived from Sociometric Analysis (1953)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)A survey on deep learning for human mobility (2023)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Enabling Finer Grained Place Embeddings using Spatial Hierarchy from Human Mobility Trajectories (2020)Towards semantic enrichment for spatial interactions (2024)Inferring trip purposes and uncovering travel patterns from taxi trajectory data (2015)Predicting user’s next location using machine learning algorithms (2020)Combining recurrent and Graph Neural Networks to predict the next place’s category (2022)
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References

  • 2016Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks313 cited
  • 2019Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach313 cited
  • 2011On the semantic annotation of places in location-based social networks231 cited
  • 2013Placer101 cited
  • 2016A General Multi-Context Embedding Model for Mining Human Trajectory Data71 cited
  • 2014What is this place? Inferring place categories through user patterns identification in geo-tagged tweets45 cited
  • 2016A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs41 cited
  • 2020Modeling Spatial Trajectories With Attribute Representation Learning37 cited
  • 2018Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling34 cited
  • 2018DeepMove: Learning Place Representations through Large Scale Movement Data34 cited
  • 2013Feature engineering for semantic place prediction30 cited
  • 2017DeepCity: A Feature Learning Framework for Mining Location Check-Ins21 cited
  • 2017Semantic Annotation for Places in LBSN through Graph Embedding18 cited
  • 2021Embedding Hierarchical Structures for Venue Category Representation11 cited
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A Deep Multi-Modal Fusion Approach for Semantic Place Prediction in Social Media
9 cited
  • 2020Multi-context embedding based personalized place semantics recognition9 cited
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