| Download | - View accepted manuscript: Keyword Optimization in Sponsored Search via Feature Selection (PDF, 288 KiB)
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| Author | Search for: Kiritchenko, Svetlana; Search for: Jiline, M. |
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| Format | Text, Article |
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| Conference | ECML PKDD 2008, Workshop on Newchallenges for feature selection in data mining and knowledgediscovery, September 15, 2008, Antwerp, Belgium |
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| Abstract | Sponsored 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. |
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| Publication date | 2008 |
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| In | |
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| Language | English |
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| NRC number | NRCC 50715 |
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| NPARC number | 5764560 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | c67a79be-4402-4223-8fbd-40a9affc35b8 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-08-12 |
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