| 書目名稱 | Fraud Prevention in Online Digital Advertising |
| 編輯 | Xingquan Zhu,Haicheng Tao,Jeremy Kayne |
| 視頻video | http://file.papertrans.cn/348/347815/347815.mp4 |
| 叢書名稱 | SpringerBriefs in Computer Science |
| 圖書封面 |  |
| 描述 | .The authors systematically review methods of online digital advertising (ad) fraud and the techniques to prevent and defeat such fraud in this brief. The authors categorize ad fraud into three major categories, including (1) placement fraud, (2) traffic fraud, and (3) action fraud. It summarizes major features of each type of fraud, and also outlines measures and resources to detect each type of fraud. This brief provides a comprehensive guideline to help researchers understand the state-of-the-art in ad fraud detection. It also serves as a technical reference for industry to design new techniques and solutions to win the battle against fraud. . |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Computational advertising; Digital advertising; Online advertising; Real-time bidding; Display advertisi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-56793-8 |
| isbn_softcover | 978-3-319-56792-1 |
| isbn_ebook | 978-3-319-56793-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2017 |
|Archiver|手機版|小黑屋|
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