How the distribution of the number of items rated per user influences the quality of recommendations. - Michael Grottke; Julian Knoll; Rainer Groß (I4CS, 2015)

Recommending with Higher-Order Factorization Machines. - Julian Knoll (SGAI Conf., 2016)

Markov Random Walk vs. Higher-Order Factorization Machines: A Comparison of State-of-the-Art Recommender Algorithms. - Julian Knoll; David Köckritz; Rainer Groß (I4CS, 2017)

Higher-order factorization machines: implementation, application, and comparison of a state-of-the-art recommender approach. - Julian Knoll (2017)

Knowledge Workers' Expectations Towards a Digital Workplace. - Tobias Kissmer; Julian Knoll; Stefan Stieglitz; Rainer Groß (AMCIS, 2018)

Applying Recommender Approaches to the Real Estate e-Commerce Market. - Julian Knoll; Rainer Groß; Axel Schwanke; Bernhard Rinn; Martin Schreyer (I4CS, 2018)

Beat the Bookmaker - Winning Football Bets with Machine Learning (Best Application Paper). - Johannes Stübinger; Julian Knoll (SGAI Conf., 2018)

Machine-Learning-Based Statistical Arbitrage Football Betting. - Julian Knoll; Johannes Stübinger (Künstliche Intell., 2020)

Visualizing Customer Journeys: How to Illustrate the Entire Customer Interaction Universe of a Commercial Website in Real Time. - Niklas Scheidthauer; Julian Knoll; Rainer Groß (I4CS, 2021)