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Clustering-Based Bidding Languages for Sponsored Search Mohammad Mahdian1 and Grant Wang1 Yahoo Inc. Santa Clara CA USA mahdian gjw yahoo-inc.com Abstract. Sample keywords and clusters from a 1 000-clustering Discussion We have introduced the idea of a clustering-based bidding language for sponsored search. Clustering-based bidding languages reduce the complexity of bidding for broad matching where advertisers can bid on overlapping sets of keywo...
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Clustering based bidding languages refer to programming languages that utilize clustering algorithms to improve the efficiency and effectiveness of bidding systems in online advertising.
There is no specific requirement to file clustering based bidding languages. It is a programming approach used by developers and advertisers to enhance bidding systems in online advertising.
Clustering based bidding languages are not filled out in the traditional sense. They are implemented by developers who use clustering algorithms to improve the bidding systems in online advertising platforms.
The purpose of clustering based bidding languages is to optimize the bidding systems in online advertising. By utilizing clustering algorithms, advertisers can target their ads more effectively and improve the overall performance of their campaigns.
Clustering based bidding languages do not require any specific information to be reported. They are programming languages used by developers to enhance bidding systems in online advertising.
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