2022

doi dblp
A Deep Markov Model for Clickstream Analytics in Online Shopping
Yilmazcan Özyurt | Tobias Hatt | Ce Zhang | Stefan Feuerriegel
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
Detecting False Rumors from Retweet Dynamics on Social Media
Christof Naumzik | Stefan Feuerriegel
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022

doi dblp
Web Mining to Inform Locations of Charging Stations for Electric Vehicles
Philipp Hummler | Christof Naumzik | Stefan Feuerriegel
Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022

2021

doi dblp
Estimating Average Treatment Effects via Orthogonal Regularization
Tobias Hatt | Stefan Feuerriegel
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

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One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce
Christof Naumzik | Stefan Feuerriegel
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach
Christof Naumzik | Patrick Zoechbauer | Stefan Feuerriegel
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

doi dblp
Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model
Tobias Hatt | Stefan Feuerriegel
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Learning from On-Line User Feedback in Neural Question Answering on the Web
Bernhard Kratzwald | Stefan Feuerriegel
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

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