Behind the Scenes of an Ads Prediction System
Formal Metadata
| Title | Behind the Scenes of an Ads Prediction System |
|
| Title of Series | |
| Number of Parts | 131 |
| Author | |
| Contributors | |
| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this license. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | In this era of rapid technological advancement and AI, Ad prediction systems stand at the forefront of shaping online advertising, significantly impacting how content reaches its intended audience. In this session, I'll introduce the Ads prediction system from a user and algorithm view. We'll then walk through key concepts like targeting, bidding, ad ranking, click-through rate (CTR), and conversion rate. We'll deeply dive into connecting the dots, designing an ad prediction system, some ethical considerations, models, offline and online metrics, scaling and deployment decisions that enable handling high volumes of data and requests efficiently, and some case studies.
At the end of this session, attendees will comprehensively understand the end-to-end process of developing an ads prediction system. |
|