Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine
作者： Thore Graepel , Joaquin Quiñonero-Candela , Thomas Borchert , Ralf Herbrich
DOI:
关键词: Artificial intelligence 、 Search advertising 、 Message passing 、 Search engine 、 Click-through rate 、 Best-first search 、 Pruning (decision trees) 、 Naive Bayes classifier 、 Computer science 、 Machine learning 、 Search algorithm 、 Data mining
摘要: … While the prediction of CTR is essentially an inference problem, the performance of the ad selection system will be measured in terms of the decisions made. Moreover, since the CTR …
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acm.org 参考文章(13)
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