Modeling Personal Preference Using Shopping Behaviors in Ubiquitous Information Environment

We have been developing an experimental prototype system -- Smart Shop, an application of personal information assistance in a shopping context, (1) to find items of users' interest and/or preferences through data observed from users' behaviors in a ubiquitous information environment, (2) to automatically build a user preference model, and (3) to apply the model and provide suitable information service in the real world. Utilizing ubiquitous sensors, we apply three types of observation scopes to model each user's preference. They are microscopic, mezzoscopic, and macroscopic observation scopes. Our system can inject suitable and controlled messages to a user to build up his precise preference model without putting any stress on him. Keyword Information Services, Personal Preference, Smart Shop, Shopping Assistance, Ubiquitous

[1]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[2]  Norbert A. Streitz.  From Individual Work and Desktop-Based Collaboration to Ubiquitous Meeting Environments , 1994, MHVR.

[3]  J. Krumm,et al.  Multi-camera multi-person tracking for EasyLiving , 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.

[4]  Alex Pentland.  Smart rooms, desks and clothes , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[5]  Mark Weiser.  The computer for the 21st century , 1991 .

[6]  William H. Bolen,et al.  Why We Buy the Science of Shopping , 2000 .

[7]  D. Yamamoto,et al.  Behavior fusion in a robotic interface for practicality and familiarity - approach by simultaneous imitations , 2004, RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No.04TH8759).

[8]  Taek-Soo Kim,et al.  A statistical model for user preference , 2005, IEEE Transactions on Knowledge and Data Engineering.

[9]  L. Rothkrantz,et al.  Toward an affect-sensitive multimodal human-computer interaction , 2003, Proc. IEEE.

[10]  Hiroshi Noguchi,et al.  Accumulation and summarization of human daily action data in one-room-type sensing system , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[11]  Alex Pentland.  Smart rooms, desks, and clothes , 1998, Assets '98.

[12]  Vlatka Hlupic,et al.  Market segmentation and customer knowledge for shopping centers , 2003, Proceedings of the 25th International Conference on Information Technology Interfaces, 2003. ITI 2003..

[13]  Jeehyong Lee,et al.  A framework of context-awareness for ubiquitous computing middlewares , 2005, Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05).

[14]  Toshikazu Kato,et al.  A Framework of Time, Place, Purpose and Personal Profile Based Recommendation Service for Mobile Environment , 2005, IEICE Trans. Inf. Syst..

[15]  Tsutomu Terada,et al.  A Geographic Information System Using Active Database Systems , 2000 .

[16]  Hideki Hashimoto,et al.  Physical agent for sensored, networked and thinking space , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[17]  P. Chatterjee,et al.  Modeling the Clickstream: Implications for Web-Based Advertising Efforts , 2003 .