Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9352
Title: An intelligent agent for web advertisements
Authors: Ng, V 
Ho, MK
Issue Date: 2002
Publisher: World Scientific Publishing Co
Source: International journal of foundations of computer science, 2002, v. 13, no. 4, p. 531-554 How to cite?
Journal: International journal of foundations of computer science 
Abstract: The rapid growth of Internet users attracts advertisers to post their advertisements in Internet. The probabilistic selection algorithm was not satisfactory; while other advertising agents are unable to guarantee the quality due to insufficient and unstable user information. This paper describes a new advertising agent based on user information. The users' interests are discovered by the Order Pattern Mining algorithm first, then the Gaussian curve transformation is applied to represent their profiles. For the advertisements, we use the keywords from different categories to construct the advertisement profiles as Gaussian curves also. This allows us to select advertisements based on the intersections of the different profiles according to users' preferences in an effective and efficient mechanism. A prototype of the Intelligent Advertising Agent has been developed with Java and Oracle. From our evaluations, we observed that about 70% of the test cases are successful in making predictions which generated the most favorable category that the users are interested.
URI: http://hdl.handle.net/10397/9352
ISSN: 0129-0541
DOI: 10.1142/S0129054102001266
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Dec 2, 2017

Page view(s)

39
Last Week
1
Last month
Checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.