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Visiting from Singapore, Associate Professor Gao Cong will be giving RMIT some special insights into his recent analysis of the vast amounts of geo-textual data produced by social media feeds.
Massive amounts of geo-textual data that contain both geospatial and textual content are being generated at an unprecedented scale from social media websites. Examples of user generated geo-textual content include 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 in location-based social networks.
This talk presents recent results by the speaker and his colleagues on querying, exploring, and mining geo-textual data from social media feeds. The talk will cover:
- indexing and querying geo-textual data
- querying geospatial social media data streams
- exploratory search on geo-textual data
- context-aware POI recommendations.
Associate Professor Gao Cong
Associate Professor Gao Cong joined Nanyang Technological University (NTU) from Aalborg University, Denmark, and prior to that he worked as a researcher at Microsoft Research Asia. From 2004 to 2006, he worked as a postdoc in University of Edinburgh. He received his PhD in computer science from the 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, WWW, ACM SIGIR, ICDE, etc. He served as a PC co-chair for E&A track of VLDB 2014. He is an associate editor for ACM Transactions on Database Systems.
Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Tao Gu, the seminar coordinator, firstname.lastname@example.org.
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