THE EUROPEAN CONFERENCE ON MACHINE LEARNING & PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES 2017

Activity: Participating in or organising an academic or articstic eventExternal workshops, courses, seminarsResearch

Ulf Brefeld - Coauthor

Bayesian User Behavior Models

Facilitating a satisfying user experience requires a detailed understanding of user behavior and intentions. The key is to leverage observations of activities, usually the clicks performed on Web pages. A common approach is to transform user sessions into Markov chains and analyze them using mixture models. However, model selection and interpretability of the results are often limiting factors. As a remedy, we present a Bayesian nonparametric approach to group user sessions and devise behavioral patterns. Empirical results on an electronic text book show that our approach reliably identifies underlying behavioral patterns and proves more robust than baseline competitors.

weitere Autoren: Jan Reubold, Technische Universität Dresden; Ahcène Boubekki, Wirtschaftsinformatik insb. Machine Learning, Lepuhana; Thorsten Strufe, Technische Universität Dresden;
09.2017
THE EUROPEAN CONFERENCE ON MACHINE LEARNING & PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES 2017

Event

THE EUROPEAN CONFERENCE ON MACHINE LEARNING & PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES 2017

18.09.1722.09.17

Skopje, Macedonia, The Former Yugoslav Republic of

Event: Conference

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