Please join us on Friday, March 11, 2016 at 3 pm at the Ryerson Social Media Lab for a talk by Dr. Ayse Basar Bener, Professor, Director of Data Science Laboratory (DSL) in the Department of Mechanical and Industrial Engineering, and Director of Big Data in the Office of Provost and Vice President Academic at Ryerson University.
This event is FREE but seating is limited, please
(Note: If you are not able to join us in person, you can also join us virtually via @SMLabTO on the day of the talk.)
Event: Social Media Lab Speaker Series
Date: Friday, February 26, 2016
Time: 3:00-4:00 pm
Location: 10 Dundas Street East, Toronto 10th Floor, Suite 1002
Ryerson Social Media Lab at the Ted Rogers School of Management
Location aware mobile devices have increased the availability of user trajectory information making point of interest recommenders a popular service on mobile devices. However, one of the main challenges in this area is sparsity of the historical trajectory data. So far, most of the recommender systems take users’ historical trajectory information into consideration to recommend different places. Web interactions reveal rich information on the user interests, and hence a recommender system should take into consideration such data. In this study, we present a model that combines and associates users interest/taste information, obtained from their web interactions together with location information obtained from the Open Street Map (OSM). Then, we combine this information with the users’ real time trajectory information (longitude, latitude and timestamp) to present a list of recommended points of interest close to the current location.
Dr. Ayse Basar Bener is a professor and the director of Data Science Laboratory (DSL) in the Department of Mechanical and Industrial Engineering, and director of Big Data in the Office of Provost and Vice President Academic at Ryerson University. She is a faculty research fellow of IBM Toronto Labs Centre for Advance Studies, and affiliate research scientist in St. Michael’s Hospital in Toronto. Her current research focus is big data applications to tackle the problem of decision-making under uncertainty by using machine learning methods and graph theory to analyze complex structures in big data to build recommender systems and predictive models in health care, software engineering, smart energy grid, and green software. She is a member of AAAI, INFORMS, AIS, and a senior member of IEEE.
About the Social Media Lab Speaker Series:
The Social Media Lab Speaker Series bring together scholars, researchers and practitioners to exchange ideas and debate key issues associated with social media and new media research. Held throughout the year, the Ryerson Social Media Lab Speaker Series is open to the public. It’s an opportunity to meet, network, hear and ask questions from fellow researchers and practitioners. Traditionally we invite leading and emerging researchers in the field to discuss theoretical and methodological topics that are of interest to the broader research community. We usually feature 8-10 talks per semester. The talks are typically about forty minutes long followed by twenty minutes of Q&A. For those who cannot join us in person, the lecture are broadcast live over Periscope and posted on YouTube after the event. We hope you can join us! Space is limited, please RSVP.
We are located at 10 Dundas St East, Toronto, Canada. When you enter 10 Dundas, look for the elevator bank (marked as Office Tower) next to the Starbucks Coffee on the 1st floor. Take the elevator to the 10th floor, our office suite #1002 will be on the right.