Abstract Venue Concept Detection from Location-Based Social Networks
Refereed conference paper presented and published in conference proceedings


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AbstractWe investigate a new graphical model that can generate latent abstract concepts of venues, or Point of Interest (POI) by exploiting text data in venue profiles obtained from location-based social networks (LBSNs). Our model offers tailor-made modeling for two different types of text data that commonly appears in venue profiles, namely, tags and comments. Such modeling can effectively exploit their different characteristics. Meanwhile, the modeling of these two parts are tied with each other in a coordinated manner. Experimental results show that our model can generate better abstract venue concepts than comparative models.
All Author(s) ListLiao Y, Jameel S, Lam W, Xie X
Name of Conference11th Asia Information Retrieval Societies Conference (AIRS)
Start Date of Conference02/12/2015
End Date of Conference04/12/2015
Place of ConferenceBrisbane
Country/Region of ConferenceAustralia
Journal nameLecture Notes in Artificial Intelligence
Year2015
Month1
Day1
Volume Number9460
PublisherSPRINGER INT PUBLISHING AG
Pages147 - 157
ISBN978-3-319-28939-7
eISBN978-3-319-28940-3
ISSN0302-9743
LanguagesEnglish-United Kingdom
KeywordsAbstract venue concept; Graphical model; Location-based social networks
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Robotics

Last updated on 2020-22-05 at 02:16