6 citations · 21 across the 10 of their papers we have counts for
10 papers
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…
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
Filipa Valdeira, Stevo Racković, Valeria Danalachi +2
Recommendation Systems (RS) are often used to address the issue of medical doctor referrals. However, these systems require access to patient feedback and medical records, which ma…
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates
Erik Fubel, Niclas Michael Groll, Patrick Gundlach +2
Search Engine Result Pages (SERPs) serve as the digital gateways to the vast expanse of the internet. Past decades have witnessed a surge in research primarily centered on the infl…
Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media
Alessandro Gambetti, Qiwei Han
Recent advances in generative models such as GPT may be used to fabricate indistinguishable fake customer reviews at a much lower cost, thus posing challenges for social media plat…
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…
Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings
Joel Peito, Qiwei Han
In contrast to many other domains, recommender systems in health services may benefit particularly from the incorporation of health domain knowledge, as it helps to provide meaning…
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care
Qiwei Han, Mengxin Ji, Inigo Martinez de Rituerto de Troya +2
We partner with a leading European healthcare provider and design a mechanism to match patients with family doctors in primary care. We define the matchmaking process for several d…
Asymmetric Peer Influence in Smartphone Adoption in a Large Mobile Network
Qiwei Han, Pedro Ferreira, João Paulo Costeira
Understanding adoption patterns of smartphones is of vital importance to telecommunication managers in today's highly dynamic mobile markets. In this paper, we leverage the network…
The Role of Peer Influence in Churn in Wireless Networks
Qiwei Han, Pedro Ferreira
Subscriber churn remains a top challenge for wireless carriers. These carriers need to understand the determinants of churn to confidently apply effective retention strategies to e…