Search Results for author: Maximilian Kaiser

Found 3 papers, 0 papers with code

Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates

no code implementations31 May 2023 Erik Fubel, Niclas Michael Groll, Patrick Gundlach, Qiwei Han, Maximilian Kaiser

Search Engine Result Pages (SERPs) serve as the digital gateways to the vast expanse of the internet.

Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape

no code implementations11 Feb 2023 Fynn Oldenburg, Qiwei Han, Maximilian Kaiser

As advertisers increasingly shift their budgets toward digital advertising, forecasting advertising costs is essential for making budget plans to optimize marketing campaign returns.

Clustering Feature Importance +4

Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach

no code implementations16 Nov 2021 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 networks of tech companies such as Google and Facebook.

Time Series Time Series Analysis

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