Title of article :
How to measure the effectiveness of online advertising in online marketplaces
Author/Authors :
Kim، نويسنده , , Cookhwan and Kwon، نويسنده , , Kwiseok and Chang، نويسنده , , Woojin، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
The online marketplace, in the form of an “open market” where a very large number of buyers and sellers participate, has occupied a rapidly increasing position in e-commerce, resulting in sellers’ increasing investment in online advertising. Hence, there is a growing need to identify the effectiveness of online advertising in online marketplaces such as eBay.com. However, it is problematic to directly apply the existing online advertising effect models to the click-through data of online marketplaces. Therefore, a model must be developed to estimate the effectiveness of online advertising in the online marketplace in terms of its characteristics. In this paper, we develop an analytical Bayesian approach to modeling click-through data by employing the Poisson-gamma distribution. Our results have implications for online advertising effect measurement, and may help guide advertisers in decision-making.
Keywords :
Online marketplace , Online advertising , Click-through data , Hierarchical Bayes model , Poisson-gamma model , Advertising effect model
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications