Efficient Batch Top-k Search for Dictionary-based Entity Recognition
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Fast Random Walk with Restart and Its Applications
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
INFORMS Journal on Computing
Using the wisdom of the crowds for keyword generation
Proceedings of the 17th international conference on World Wide Web
Simrank++: query rewriting through link analysis of the click graph
Proceedings of the VLDB Endowment
Search advertising using web relevance feedback
Proceedings of the 17th ACM conference on Information and knowledge management
Online expansion of rare queries for sponsored search
Proceedings of the 18th international conference on World wide web
Improving ad relevance in sponsored search
Proceedings of the third ACM international conference on Web search and data mining
Using landing pages for sponsored search ad selection
Proceedings of the 19th international conference on World wide web
Building taxonomy of web search intents for name entity queries
Proceedings of the 19th international conference on World wide web
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In sponsored search, the ad selection algorithm is used to pick out the best candidate ads for ranking, the bid keywords of which are best matched to the user queries. Existing ad selection methods mainly focus on the relevance between user query and selected ads, and consequently the monetization ability of the results is not necessarily maximized. To this end, instead of making selection based on keywords as a whole, our work takes advantages of the different impacts, as revealed in our data study, of different components inside the keywords on both relevance and monetization ability. In particular, we select keyword components and then maximize the relevance and revenue on the component level. Finally, we combine the selected components to generate the bid keywords. The experiments reveal that our method can significantly outperform two baseline algorithms on the metrics including recall, precision and the monetization ability.