Julian Knoll

According to our database, Julian Knoll authored at least 9 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Visualizing Customer Journeys: How to Illustrate the Entire Customer Interaction Universe of a Commercial Website in Real Time.

Niklas Scheidthauer, Julian Knoll, Rainer Groß

Proceedings of the Innovations for Community Services - 21st International Conference, 2021

2020

Machine-Learning-Based Statistical Arbitrage Football Betting.

Julian Knoll, Johannes Stübinger

Künstliche Intell., 2020

2018

Beat the Bookmaker - Winning Football Bets with Machine Learning (Best Application Paper).

Johannes Stübinger, Julian Knoll

Proceedings of the Artificial Intelligence XXXV, 2018

Applying Recommender Approaches to the Real Estate e-Commerce Market.

Julian Knoll, Rainer Groß, Axel Schwanke, Bernhard Rinn, Martin Schreyer

Proceedings of the Innovations for Community Services - 18th International Conference, 2018

Knowledge Workers' Expectations Towards a Digital Workplace.

Tobias Kissmer, Julian Knoll, Stefan Stieglitz, Rainer Groß

Proceedings of the 24th Americas Conference on Information Systems, 2018

2017

Higher-order factorization machines: implementation, application, and comparison of a state-of-the-art recommender approach.

Julian Knoll

PhD thesis, 2017

Markov Random Walk vs. Higher-Order Factorization Machines: A Comparison of State-of-the-Art Recommender Algorithms.

Julian Knoll, David Köckritz, Rainer Groß

Proceedings of the Innovations for Community Services - 17th International Conference, 2017

2016

Recommending with Higher-Order Factorization Machines.

Julian Knoll

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015

How the distribution of the number of items rated per user influences the quality of recommendations.

Michael Grottke, Julian Knoll, Rainer Groß

Proceedings of the 15th International Conference on Innovations for Community Services, 2015