Abstract
In the Internet-based economy, the (relative) transparency of e-markets and increasing online market dynamics call for more responsive and encompassing approaches towards the monitoring of markets and competitors. Accordingly, this paper proposes to observe continuously a preselected set of e-commerce Web channels, or online portals, to gather a comprehensive as possible picture of market dynamics. In so doing, a historical market data repository is accumulated based on an adaptive scheme of harvesting Web data online in order to provide dynamic information about both market structure and prices. A description of the proposed estimator for online data sampling based on observed (price) change frequencies is given. Numerical simulations highlight the virtues of the proposed adaptive estimator compared to established Web page change frequency estimators, even more so in case of considering constraints on (observation) resources. As an example, the methodology is applied to the online hotel room booking market.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Hendler, J.A., Shadbolt, N., Hall, W., Berners-Lee, T., Weitzner, D.J.: Web Science: an Interdisciplinary Approach to Understanding the Web. Commun. ACM. 51(7), 60–69 (2008)
Walchhofer, N., Froeschl, K.A., Hronsky, M., Hornik, K.: Dynamic Population Segmentation in Online Market Monitoring. In: Classification as a Tool for Research, Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Studies in Classification, Data Analysis, and Knowledge Organization, pp. 609–617. Springer, Heidelberg (2009)
Cho, J., Garcia-Molina, H.: Estimating Frequency of Change. ACM Trans. Internet Techn. 3(3), 256–290 (2003)
Matloff, N.: Estimation of Internet File-Access/Modification Rates from Indirect Data. ACM Trans. Model. Comput. Simul. 15(3), 233–253 (2005)
Ashish, N., Kulkarni, D., Wang, Y.: Source Update Capture in Information Agent. In: Proceedings of IJCAI 2003 Workshop on Information Integration the Web (IIWeb 2003), pp. 93–98 (2003)
Cho, J., Ntoulas, A.: Effective Change Detection Using Sampling. In: VLDB 2002, Proceedings of 28th International Conference on Very Large Data Bases, pp. 514–525 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Walchhofer, N., Froeschl, K.A., Hornik, K. (2012). Adaptive Change Estimation in the Context of Online Market Monitoring. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-27549-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27548-7
Online ISBN: 978-3-642-27549-4
eBook Packages: Computer ScienceComputer Science (R0)