@incollection{ubo_mods_00080806,
  author = {Taghavi, Mona and Bakhtiyari, Kaveh and Scavino, Edgar},
  title = {Agent-based Computational Investing Recommender System},
  booktitle = {Proceedings of the 7th ACM Conference on Recommender Systems},
  series = {RecSys ’13},
  year = {2013},
  isbn = {978-1-4503-2409-0},
  location = {Hong Kong, China},
  pages = {455–458},
  numpages = {4},
  url = {http://doi.acm.org/10.1145/2507157.2508072},
  doi = {10.1145/2507157.2508072},
  acmid = {2508072},
  publisher = {ACM},
  address = {New York, NY, USA},
  keywords = {computational investing, hybrid filtering, multi-agent system, recommender system, stock market}
}


@book{ubo:42846,
  author = {Hussein, Tim},
  title = {A conceptual model and a software framework for developing context aware hybrid recommender systems},
  year = {2013},
  publisher = {Hut},
  address = {München},
  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.},
  isbn = {978-3-8439-1188-7},
  school = {University of Duisburg-Essen}
}


@inproceedings{ubo:42827,
  author = {Kaindl, Hermann and Wach, Elmar and Okoli, Ada and Popp, Roman and Hoch, Ralph and Gaulke, Werner and Hussein, Tim},
  chapter = {},
  title = {Semi-automatic generation of recommendation processes and their GUIs},
  year = {2013},
  publisher = {ACM},
  abstract = {Creating and optimizing content- and dialogue-based recommendation processes and their GUIs (graphical user interfaces) manually is expensive and slow. Changes in the environment may also be found too late or even be overlooked by humans. We show how to generate such processes and their GUIs semi-automatically by using knowledge derived from unstructured data such as customer feedback on products on the Web. Our approach covers the whole lifecycle from knowledge discovery through text mining techniques to the use of this knowledge for semi-automatic generation of recommendation processes and their user interfaces as well as their comparison in real-world use within the e-commerce domain through A/B-variant tests. These tests indicate that our approach can lead to better results as well as less manual effort.},
  isbn = {978-1-4503-1965-2},
  url = {http://dx.doi.org/10.1145/2449396.2449410},
  booktitle = {Proceedings of the 18th International Conference on Intelligent User Interfaces (IUI ’13)}
}


@inproceedings{ubo:42828,
  author = {Loepp, Benedikt and Hussein, Tim and Ziegler, Jürgen},
  chapter = {},
  title = {Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren},
  year = {2013},
  publisher = {Oldenbourg},
  address = {München},
  abstract = {In diesem Beitrag beschreiben wir ein Verfahren zur Generierung interaktiver Empfehlungsdialoge auf Basis latenter Produktfaktoren. Der Ansatz verbindet auf neuartige Weise Methoden zur automatischen Generierung von Empfehlungen mit interaktiven, explorativen Methoden der Produktsuche. Das vorgestellte Verfahren nutzt verborgene Muster in Produktbewertungen (latente Faktoren) und erzeugt auf dieser Basis visuelle Dialoge, die den Nutzer schrittweise und intuitiv durch einen Explorationsprozess führen. In einer Nutzerstudie konnten wir zeigen, dass ein derartiger interaktiver Empfehlungsprozess hinsichtlich des Aufwandes und der Zufriedenheit mit den erzielten Resultaten eine deutliche Verbesserung gegenüber rein manuellen oder rein automatischen Verfahren bieten kann.},
  pages = {17–26},
  doi = {10.1524/9783486781229.17},
  url = {http://dx.doi.org/10.1524/9783486781229.17},
  booktitle = {Mensch & Computer 2013 – Tagungsband}
}


@inproceedings{ubo:42844,
  author = {Hussein, Tim and Linder, Timm and Ziegler, Jürgen},
  editor = {Hussein, Tim and Paulheim, Heiko and Lukosch, Stephan and Ziegler, Jürgen and Calvary, Gaelle},
  chapter = {},
  title = {A Context-Aware Shopping Portal Based on Semantic Models},
  series = {Human-Computer Interaction Series},
  year = {2013},
  publisher = {Springer},
  address = {London},
  abstract = {This chapter illustrates how semantic models can be used as a backend data source for both exploration and adaptation purposes. For a fictitious shopping portal, we implemented a faceted navigation approach that provides means for exploring the portal’s content manually. In addition to that, we implemented an adaptation mechanism based on spreading activation that also exploits the semantic structure of the underlying data.},
  isbn = {978-1-4471-5301-6},
  url = {http://dx.doi.org/10.1007/978-1-4471-5301-6_8},
  booktitle = {Semantic Models for Adaptive Interactive Systems}
}