Optimizing Internet Advertising with Machine Learning From Modern Delivery Algorithms to the Future of Ad Production / Shuhei Kimura / Kodai Kureishi

※Please note that product information is not in full comprehensive meaning because of the machine translation.
Japanese title: 単行本(実用) 情報科学 機械学習によるインターネット広告最適化 現代の配信アルゴリズムから広告制作の未来まで / 木村衆平 / 暮石航大
Out of stock
Item number: BO4964222
Released date: 29 May 2025
Maker: Kodansha

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science The Internet advertising, which produces a market worth 2,000,000,000,000 yen per year. The authors of an industry-leading cyber agent explain the theoretical background of the technology that delivers high-speed and optimal advertisements. This article overlooks the technology that optimizes the delivery of advertisements using machine learning and the technology that automatically generates contents using machine learning. [Contents] Chapter 1. Machine learning technology related to the Internet advertising industry 1.1 Environmental suitability of machine learning in the Internet advertising industry 1.2 Application area of machine learning 1.3 Privacy regulations facing the Internet advertising industry Chapter 2 Algorithms for Advertisement Delivery 2.1 CTR/CVR Forecasts 2.2 Utilization of forecasts in services 2.3 Creative Choice Chapter 3 Methods for measuring the effectiveness of advertisements 3.1 Definition of the effectiveness of measures 3.2 Randomized controlled trials 3.3 Approaches based on observational studies Chapter 4 Advertisement Delivery and Privacy 4.1 Changes in the environment surrounding the digital advertising industry 4.2 Privacy protection and attribution mechanisms 4.3 Differential privacy and privacy-protecting mechanisms 4.4 Concealment for data protection Multi-Party Computations 4.5 Changes in the environment surrounding the digital advertising industry 4.6 Browser Initiatives 4.7 Differential privacy and privacy-protecting mechanisms 4.8 Concealment for data protection Multi-Party Computations Changes in the environment surrounding the digital advertising industry Challenges facing the Browser 5.2 Differential Privacy and privacy-protecting mechanisms 5.1 Evaluation in Ad Text Generation Chapter 6 Machine Learning for Graphic Design 6.1 Prior Prediction of Advertisement Effectiveness 6.2 Layout Generation 6.3 typography Recognition and Generation Chapter 7 Future of Ad Delivery