Title :
BidTerm Suggestion for Advertising Webpages
Author_Institution :
Bus. Inf. Syst. Dept., Arab Acad. for Sci. & Technol. & Maritime Transp., Alexandria, Egypt
Abstract :
Text Advertising is an important field that can affect online advertising. Bid term Suggestion gains a great interest by advertisers. Advertisers should choose carefully the bid terms and the relevant phrases that represent their products or services, otherwise online users would not click on the ad that transfer them to the purchase page of the product or the service being promoted. The paper proposes a method that suggests the keywords of a web page based on the frequent terms in a web page while including the lexical relationship (synonyms) of these words. An experiment is executed to validate the method while the method´s result is comparable with Google ad word tool. The proposed method had shown better results than working only with the frequency of the terms.
Keywords :
Web sites; advertising; text analysis; Google ad word tool; Web page keyword; Webpage advertising; bidterm suggestion; frequent terms; online advertising; text advertising; word lexical relationship; Advertising; Data mining; Google; Java; Search engines; Semantics; Web pages; Bidterm suggestion; Lexical Relationships; Synonyms;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2497-7
DOI :
10.1109/ASONAM.2012.188