CS Forum: Pinar Karagoz, Middle East Technical University

CS department's public guest lecture on 'Pattern Extraction on Location and User-Location Interaction for Prediction and Recommendation '. The lecture is open to everyone free-of-charge.

Professor Pinar Karagoz
METU, Turkey

Host: Prof Aristides Gionis
Time: 14:15 (coffee at 14:00)
Venue: T3, CS building

Pattern Extraction on Location and User-Location Interaction for Prediction and Recommendation

Abstract

Increasing use of social media and mobile devices lead to the accumulation of more evidence about where people go, what kind of paths they follow, where they are, etc. Such data enable extraction of patterns about different dimensions of locations and the interaction between people and locations. These patterns have applications in various domains including but not limited to e-commerce place or product recommendation, traffic planning for smarter cities and fast access for help in disaster management. In this talk, I will talk about our recent research on three dimensions of location related patterns. In the first part, evidential estimation of event locations in microblogs will be presented. Secondly, a context-aware location recommendation method for location-based social networks will be described. Lastly, I will talk about the location prediction for mobile phone users by using sequential pattern mining techniques.

Bio

Pinar Karagoz is an Associative Professor in Computer Engineering Department of Middle East Technical University. She received her PhD. degree from the same department  in 2003 and worked as a visiting researcher in State University of New York (SUNY) at Stony Brook. Her research interests include data mining, web usage mining, social network analysis, information extraction from web, semantic web services, web service discovery and composition. Recently she served in the management commitee of the COST Action ENERGIC (European Network Exploring Research into Geospatial Information Crowdsourcing).