Proceedings are available: http://ceur-ws.org/Vol-2327/#UISTDA
Session1: Spatial Data Analysis
| 9:10-10:10 | (Keynote) Location-based Information Retrieval and Analysis by Kazutoshi Sumiya |
| 10:10-10:30 | (Short) User-relative Personalized Tour Recommendation by Prarthana Padia, Bhavya Singhal and Kwan Hui Lim |
10:30-11:00 Coffee Break
Session2: Temporal Data Analysis
| 11:00-11:30 | (Full) Video Scene Extraction Tool for Soccer Goalkeeper Performance Data Analysis by Yasushi Akiyama, Rodolfo Garcia Barrantes and Tyson Hynes |
| 11:30-11:50 | (Short) Recommending Web Advertisements based on Long-Short Term User Interest by Panote Siriaraya, Yuriko Yamaguchi, Mimpei Morishita, Yoichi Inagaki, Reyn Nakamoto, Jianwei Zhang and Shinsuke Nakajima |
| 11:50-12:10 | (Short) Analysis of Seven Editing Bias in Movie Trailer Based on Editing Features by Honoka Kakimoto, Yuanyuan Wang, Yukiko Kawai and Kazutoshi Sumiya |
Full paper: 30 min (20/25 min presentation + 10/5 min QA)
Short paper: 20 min (15 min presentation + 5 min QA)
Keynote
Location-based Information Retrieval and Analysis
by Kazutoshi Sumiya, Ph.D.
Professor, Department of Applied Informatics
Director, Research Center for Social Informatics
Kwansei Gakuin University, JAPAN
ABSTRACT
We have developed methods which can deal with the users’ interaction without conventional conscious searching. When a user generally performs map operations with certain information retrieval intentions (less-conscious), a system using our method can detect the specific operation sequences. For example, if the user performs zooming-in and centering operations, the user is narrowing down the search area to a certain location. We define such operation sequences as chunks. The system detects the chunks and uses them to analyze the user’s operations and thereby detect the user’s intentions. We have developed several prototype systems based on the proposed methods.