Abstract
The described technology provides a system for generating behavioral scores to assess digital publisher properties. The system calculates scores indicating the quality of content placements and user engagement to identify anomalous or low-quality traffic patterns. The evaluation is based on behavioral metrics derived from user interactions with the publisher content and promotional elements. This approach transforms varied interaction signals into normalized, ensembled scores that provide actionable insights into the underlying quality of the digital inventory. Keywords: behavioral score, user engagement, placement evaluation, anomalous traffic, digital advertising, content quality.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Tan, Xing; Dhuper, Sahil; He, Dongjing; Chen, Yan; Zippel, Richard; Zhang, Rui; and Fried, Zachary Loebel, "System and Method for Assessing User Engagement and Ad Placement Quality", Technical Disclosure Commons, (May 20, 2026)
https://www.tdcommons.org/dpubs_series/10184