Abstract
The RFID tags attached on items in a retail store are expected to come up to marketers’ requirement to understand latent interest of customers. The constraint due to security, however, is forcing the difficulty in recording the ID of customers, i.e., data on the information to distinguish customers. In this paper, we apply a method of chance discovery to ID-less RFID tag data obtained in an experimental library. Here we show a viewpoint to regard the patterns obtained from RFID-tag data without each customer’s ID as the log of the group behavior of customers. Using the data to visualize a scenario map showing the relations between items, we found (1) the behavior of each customer tends to correspond to a part of the map, and (2) the preference of customers converge to interests latently shared by the group, in the extension of each customer’s behaviors when they pick items looking at the scenario map. These results imply the ID-less RFID tags can be useful for activating the market as a community of customers rather than individual customer’s behavior.
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References
Lace, S.: Radio Frequency Identification Technology in Retail Briefing, for the 5 February 2004 summit at the National Consumer Council Prepared by Dr (2004), http://www.ncc.org.uk/technology/rfid.pdf
Gonzalez, H., Han, J., Li, X.: Mining compressed, commodity workflows from massive RFID data sets. In: Proceedings of the 15th ACM international conference on Information and knowledge management, pp. 162–171. ACM Press, New York (2006)
Murakami, E., Terano, T.: Fairy Wing:Distributed Information Service with RFID Tags. In: Kurumatani, K., Chen, S.-H., Ohuchi, A. (eds.) IJCAI-WS 2003 and MAMUS 2003. LNCS (LNAI), vol. 3012, pp. 174–189. Springer, Heidelberg (2004)
Hsu, H.-H., Cheng, Z., Huang, T., Han, Q.: Behavior Analysis with Combined RFID and Video Information. In: Ma, J., Jin, H., Yang, L.T., Tsai, J.J.-P. (eds.) UIC 2006. LNCS, vol. 4159, Springer, Heidelberg (2006)
Landwehr, C.E.: Conference Report on RFID Privacy Workshop, Concerns, Consensus, and Questions, IEEE Security and Privacy, March/April 2004, pp. 34–36 (2004)
Ohsawa, Y., McBurney, P.: Chance Discovery. Springer, Heidelberg (2003)
Minami, T.: RFID in marketing Library marketing with RFID for supporting learning patrons. In: International Conf. on Multimedia and Information, Spain (November 2006)
Horie, K., Ohsawa, Y.: Product Designed on Scenario Maps Using Pictorial KeyGraph. WSEAS Transaction on Information Science and Application 3(7), 1324–1331 (2006)
Ohsawa, Y.: Scenario Maps on Situational Switch Model, Applied to Blood-Test Data for Hepatitis C Patients. In: Ohsawa, Y., Tsumoto, S. (eds.) Chance Discoveries in Real World Decision Making, pp. 69–82, 415–438. Springer, Heidelberg (2006)
Ohsawa, Y., Benson, N.E., Yachida, M.: KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor. In: IEEE ADL’98. Proc. Advanced Digital Library Conference, pp. 12–18. IEEE Computer Society Press, Los Alamitos (1998)
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Ohsawa, Y., Hosoda, T., Ui, T., Ueda, M., Tanaka, H. (2007). RFID Tags Without Customers ID in Book Library for Detecting Latent Interest of User Group. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_120
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DOI: https://doi.org/10.1007/978-3-540-74827-4_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
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