A conceptual model and a software framework for developing context aware hybrid recommender systems

Hussein, T. (2013). München: Hut.

PhD thesis by Tim Hussein

Abstract

This thesis introduces Hybreed, a software framework for building context-aware applications, together with a set of components that are specifically targeted at developing hybrid, context-aware recommender systems. Hybreed is based on a conceptual model called Dynamic Contextualization, which is also introduced in this thesis. The underlying notion of context is very generic, enabling application developers to exploit sensor-based physical factors as well as factors derived from user models or user-system interaction. This approach is well aligned with context definitions that emphasize the dynamic and activity-oriented nature of context. As an extension of the generic framework, Hybreed RecViews is introduced, a set of components facilitating the development of context-aware and hybrid recommender systems. With Hybreed and RecViews, developers can rapidly develop context-aware applications that generate recommendations for both individual users and groups.

Resources

Related publications

Hybride, kontext-sensitive Generierung von Produktempfehlungen

Hussein, T., & Gaulke, W. (2010). i-Com – Zeitschrift Für Interaktive Und Kooperative Medien, 9(2), 16–23.

Hybreed: A Software Framework for Developing Context-Aware Hybrid Recommender Systems

Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2014). User Modeling and User Adapted Interaction, 24(1), 121–174.

Situationsgerechtes Recommending – Kontextadaptive, hybride Empfehlungsgenerierung

Hussein, T., & Ziegler, J. (2011). Informatik Spektrum, 34(2), 143–152.

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Research development

Hybreed Framework

Programming toolkit for complex, context-aware recommenders

Focus area