Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
ACM SIGIR Forum
Understanding user goals in web search
Proceedings of the 13th international conference on World Wide Web
Automatic identification of user goals in Web search
WWW '05 Proceedings of the 14th international conference on World Wide Web
Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
KDD CUP-2005 report: facing a great challenge
ACM SIGKDD Explorations Newsletter
Optimizing relevance and revenue in ad search: a query substitution approach
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Understanding the relationship between searchers' queries and information goals
Proceedings of the 17th ACM conference on Information and knowledge management
Search advertising using web relevance feedback
Proceedings of the 17th ACM conference on Information and knowledge management
What happens after an ad click?: quantifying the impact of landing pages in web advertising
Proceedings of the 18th ACM conference on Information and knowledge management
Using landing pages for sponsored search ad selection
Proceedings of the 19th international conference on World wide web
A large-scale active learning system for topical categorization on the web
Proceedings of the 19th international conference on World wide web
Categorization of display ads using image and landing page features
Proceedings of the Third Workshop on Large Scale Data Mining: Theory and Applications
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We define and study the process of context transfer in search advertising, which is the transition of a user from the context of Web search to the context of the landing page that follows an ad-click. We conclude that in the vast majority of cases, the user is shown one of three types of pages, which can be accurately distinguished using automatic text classification.