Prediction of venues in foursquare using flipped topic models

Prediction of venues in foursquare using flipped topic models

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,...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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