Keyword Optimization in Sponsored Search via Feature Selection

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AuthorSearch for: ; Search for:
TypeArticle
ConferenceProceedings of the ECML PKDD 2008, Workshop on Newchallenges for feature selection in data mining and knowledgediscovery, September 15, 2008., Antwerp, Belgium
AbstractSponsored search is a new application domain for the feature selection area of research.When a user searches for products or services using the Internet, most of the major search engines would return two sets of results: regular web pages and paid advertisements. An advertising company provides a set of keywords associated with an ad. If one of these keywords is present in a user's query, the ad is displayed, but the company is charged only if the user actually clicks on the ad. Ultimately, a company would like to advertise on the most effective keywords to attract only prospective customers. A set of keywords can be optimized based on historic performance. We propose to optimize advertising key- words with feature selection techniques applied to the set of all possible word combinations comprising past users' queries. Unlike previous work in this area, our approach not only recognizes the most profitable keywords, but also discovers more specific combinations of keywords and other relevant words.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50715
NPARC number5764560
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Record identifierc67a79be-4402-4223-8fbd-40a9affc35b8
Record created2009-03-29
Record modified2016-05-09
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