Adaptive Change Estimation in the Context of Online Market Monitoring View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Norbert Walchhofer , Karl Anton Froeschl , Kurt Hornik

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. More... »

PAGES

200-207

References to SciGraph publications

  • 2010-05-03. Dynamic Population Segmentation in Online Market Monitoring in CLASSIFICATION AS A TOOL FOR RESEARCH
  • Book

    TITLE

    Computer Aided Systems Theory – EUROCAST 2011

    ISBN

    978-3-642-27548-7
    978-3-642-27549-4

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-27549-4_26

    DOI

    http://dx.doi.org/10.1007/978-3-642-27549-4_26

    DIMENSIONS

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