DocumentCode
3344857
Title
Better user interest estimation to increase web banner ad click rate
Author
Çataltepe, Zehra ; Dilber, Baran ; Germiyan, Hilmi
Author_Institution
Bilgisayar Muhendisligi Bolumu, Istanbul Teknik Univ., İstanbul, Turkey
fYear
2010
fDate
22-24 April 2010
Firstpage
403
Lastpage
406
Abstract
Accurate estimation and update of user interest in different categories is necessary so that the web pages or banner ads the user may be interested in are given priority over the other. The web pages viewed in the past or viewing of the popular web pages should affect the user interest less than more recent or less popular page views. In this study, based on tracking of a large number of users, it is found out that the effect of web pages viewed in the past on the recent page views decays exponentially. The effect of giving less weight to popular and old page views on prediction accuracy of both page view categories and banner click categories, is also examined.
Keywords
Internet; advertising data processing; user interfaces; Web ad click rate; Web page view; prediction accuracy; user interest estimation; Advertising; Aging; Art; Estimation; Web pages; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location
Diyarbakir
Print_ISBN
978-1-4244-9672-3
Type
conf
DOI
10.1109/SIU.2010.5652106
Filename
5652106
Link To Document