Prediction of venues in foursquare using flipped topic models

• Main Authors: CHONG, Wen Haw, DAI, Bing Tian, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Foursquare; Venue prediction; Topic models; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2625; https://ink.library.smu.edu.sg/context/sis_research/article/3625/viewcontent/130___Prediction_of_Venues_in_Foursquare_Using_Flipped_Topic_Models__ECIR2015_.pdf
• Institution: Singapore Management University

Foursquare is a highly popular location-based social platform, where users indicate their presence at venues via check-ins and/or provide venue-related tips. On Foursquare, we explore Latent Dirichlet Allocation (LDA) topic models for venue prediction: predict venues that a user is likely to visit,...