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Do ads compete or collaborate? Designing click models with full relationship incorporated

  • Xin Xin*
  • , Irwin King
  • , Ritesh Agrawal
  • , Michael R. Lyu
  • , Heyan Huang
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Traditionally click models predict click-through rate (CTR) of an advertisement (ad) independent of other ads. Recent researches however indicate that the CTR of an ad is dependent on the quality of the ad itself but also of the neighboring ads. Using historical click-through data of a commercially available ad server, we identify two types (competing and collaborating) of influences among sponsored ads and further propose a novel click-model, Full Relation Model (FRM), which explicitly models dependencies between ads. On a test data, FRM shows significant improvement in CTR prediction as compared to earlier click models.

源语言英语
主期刊名CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
1839-1843
页数5
DOI
出版状态已出版 - 2012
活动21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, 美国
期限: 29 10月 20122 11月 2012

出版系列

姓名ACM International Conference Proceeding Series

会议

会议21st ACM International Conference on Information and Knowledge Management, CIKM 2012
国家/地区美国
Maui, HI
时期29/10/122/11/12

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