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Geospatial Social Media Data Management and Context-aware Recommendation

Post Time:2015-07-20 16:59  Clink Times:

TitleGeospatial Social Media Data Management and Context-aware Recommendation

SpeakerAssociate Prof. Gao Cong

HostProf. Sen Su

TimeJuly 24th,2015 (Friday) 10:00 AM

LocationNew Research Building Room 610

 

Abstract

Massive amounts of geo-textual data are being generated at an unprecedented scale from social media websites. Example user generated geo-textual content includes geo-tagged micro-blogs, photos with both tags and geo-locations in social photo sharing websites, as well as points of interest (POIs) and check-in information on places in location-based social networks. This talk presents recent results on querying and mining Geo-textual Data from Social Media feeds by the speaker and his colleagues. The talk will cover (1) indexing and querying geo-textual data, (2) publish/subscribe on geospatial social media data feeds, and (3) context-aware point of interest recommendations.

 

Associate Prof. Gao Cong Bio

Gao Cong is currently an Associate Professor in the School of Computer Engineering, Nanyang Technological University (NTU). Before joining NTU, he was an Assistant professor in Aalborg University, Denmark. Before that, he worked as a researcher at Microsoft Research Asia. From 2004 to 2006, he worked as a postdoc research fellow in University of Edinburgh. He received his Ph.D. in Computer Science from National University of Singapore in 2004. His current research interests include geospatial and textual data management, data mining, context aware recommendation, and mining social networks and social media. His work was published in ACM SIGMOD, VLDB, ACM KDD, ICDE, WWW, ACM SIGIR, AAAI, etc.  He served as a PC co-chair for E&A track of VLDB 2014.

SKL-NST

July 20th,2015