3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Competition-Aware CPC Forecasting with Near-Market Coverage
Sebastian Frey, Edoardo Beccari, Maximilian Kranz +4
Cost-per-click (CPC) in paid search is an auction-generated outcome shaped by a competitive landscape that is only partially observable from any single advertiser's history. From 1…
Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
Lotte Gross, Rebecca Walter, Nicole Zoppi +4
This study addresses critical industrial challenges in e-commerce product categorization, namely platform heterogeneity and the structural limitations of existing taxonomies, by de…
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
Fynn Oldenburg, Qiwei Han, Maximilian Kaiser
As advertisers increasingly shift their budgets toward digital advertising, accurately forecasting advertising costs becomes essential for optimizing marketing campaign returns. Th…
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach
Max Würfel, Qiwei Han, Maximilian Kaiser
Online advertising revenues account for an increasing share of publishers' revenue streams, especially for small and medium-sized publishers who depend on the advertisement network…