Dr Fabian Bohnert

Dr Fabian Bohnert

Clayton School of Information Technology
Faculty of Information Technology
Monash University, Clayton, VIC 3800
Australia

phone: +61 3 9905 5207
email: fabian.bohnert [AT] monash.edu

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Short biography


Dr Fabian Bohnert is a research fellow at Monash University (Melbourne, Australia). His current research is based in the fields of user modelling and personalisation. He is particularly interested in adaptive statistical techniques for user modelling and recommendation generation in physical spaces with organised information. Fabian holds a Ph.D. from Monash University (Melbourne, Australia), and a Diplom in econo-mathematics (eq. master in econo-mathematics) from Ulm University (Ulm, Germany) with majors data mining and actuarial studies. When undertaking his Diplom thesis and during internships in industry, his research involved probabilistic predictive data modelling and data mining.

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Research interests


Visitors to physical educational environments, such as museums, galleries or zoos, are often overwhelmed by the information available in the space they are exploring. Typically being limited in receptivity and time, they are confronted with the challenge of finding and selecting the personally interesting items to view within the available time. Mobile technology, such as mobile electronic handheld guides, can provide guidance and support a visitor in this selection process by identifying and recommending items that match his/her interests. However, recommendation generation from non-intrusive observations of a visitor's behaviour in physical spaces has challenges of its own. Factors such as the spatial layout of the environment and suggested order of item access must be taken into account, as they constrain the recommendation process. I am investigating adaptive user modelling and personalisation approaches that consider such and other constraints.

My Ph.D. supervisors were Prof Ingrid Zukerman (Monash University) and Prof Liz Sonenberg (The University of Melbourne).

I am a member of the User Modeling and Natural Language Group (UMNL) chaired by Prof Ingrid Zukerman, which is affiliated with the Centre for Research in Intelligent Systems (CRIS). The UMNL group conducts research in the areas of user modelling and natural language processing, focusing on statistical and machine learning techniques.

Additionally, I was involved in the Kubadji Project. The project developed user modelling and language techniques to support the creation of personalised mobile technology for museums. Key processes under investigation were (1) the inference of a visitor's interests and activities from non-intrusive observations of his/her behaviour in the physical museum space, (2) the recommendation of items of interest, and (3) the personalisation of the content delivered for these items.

I was a member of the ARC Research Network in Human Communication Science (HCSNet), the ARC Research Network in Enterprise Information Structure (EII), and the EII Taskforce on Context-Aware Computing.

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Publications


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Refereed book chapters

  • Blair Bethwaite, David Abramson, Fabian Bohnert, Slavisa Garic, Colin Enticott, and Tom Peachey: "Mixing Grids and Clouds: High-Throughput Science Using the Nimrod Tool Family". In: Nick Antonopoulos and Lee Gillam (eds.): Cloud Computing: Principles, Systems and Applications, Springer-Verlag London, ISBN 978-1-84996-240-7, Chapter 13, pages 219–237, 2010. [bibtex] SpringerLink

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Refereed journal articles

  • Fabian Bohnert and Ingrid Zukerman: "Personalised Viewing-Time Prediction in Museums". In User Modeling and User-Adapted Interaction 24(4) (UMUAI), pages 263–314, 2014. [doi] [bibtex] SpringerLink
  • Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert: "Authorship Attribution with Topic Models". In Computational Linguistics 40(2) (COLI), pages 269–310, 2014. [web] [pdf] [doi] [bibtex]
  • Melanie F. Larizza, Ingrid Zukerman, Fabian Bohnert, Lucy Busija, Sharon A. Bentley, R. Andrew Russell, and Gwyneth Rees: "In-Home Monitoring of Older Adults with Vision Impairment: Exploring Patients', Caregivers' and Professionals' Views". In Journal of the American Medical Informatics Association 21(1) (JAMIA), pages 56–63, 2014. [web] [web] [pdf] [doi] [bibtex]
  • Petteri Nurmi, Antti Salovaara, Andreas Forsblom, Fabian Bohnert, and Patrik Floréen: "PromotionRank: Ranking and Recommending Grocery Product Promotions Using Personal Shopping Lists". In ACM Transactions on Interactive Intelligent Systems 4(1) (TIIS), pages 1:1–1:23, 2014. [doi] [bibtex] ACMLink
  • Karl Grieser, Timothy Baldwin, Fabian Bohnert, and Liz Sonenberg: "Using Ontological and Document Similarity to Estimate Museum Exhibit Relatedness". In ACM Journal on Computing and Cultural Heritage 3(3) (JOCCH), pages 10:1–10:20, 2011. [pdf] [bibtex] ACMLink
  • Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, and Liz Sonenberg: "Using Interest and Transition Models to Predict Visitor Locations in Museums". In AI Communications 21(2-3) (AICom) – Special Issue on Recommender Systems, pages 195–202, 2008. [pdf] [bibtex] IOSPressLink ACMLink

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Refereed conference proceedings

  • Fabian Bohnert, Ingrid Zukerman, and Junaidy Laures: "GECKOmmender: Personalised Theme and Tour Recommendations for Museums". In Proceedings of the 20th International Conference on User Modeling, Adaptation, and Personalization (UMAP-12), pages 26–37, Montreal, Canada, 2012. [bibtex] SpringerLink
  • Fabian Bohnert, Ingrid Zukerman, and David W. Albrecht: "Realistic Simulation of Museum Visitors' Movements as a Tool for Assessing Sensor-Based User Models". In Proceedings of the 20th International Conference on User Modeling, Adaptation, and Personalization (UMAP-12), pages 14–25, Montreal, Canada, 2012. [bibtex] SpringerLink
  • Melanie F. Larizza, Ingrid Zukerman, Fabian Bohnert, R. Andrew Russell, Lucy Busija, David W. Albrecht, and Gwyn Rees: "Studies to Determine User Requirements Regarding In-Home Monitoring Systems". In Proceedings of the 20th International Conference on User Modeling, Adaptation, and Personalization (UMAP-12), pages 139–150, Montreal, Canada, 2012. [bibtex] SpringerLink
  • Yanir Seroussi, Fabian Bohnert, and Ingrid Zukerman: "Authorship Attribution with Author-aware Topic Models". In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL-12), pages 264–269, Jeju, South Korea, 2012. [pdf] [bibtex]
  • Timothy Baldwin, Patrick Ye, Fabian Bohnert, and Ingrid Zukerman: "In Situ Text Summarisation for Museum Visitors". In Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation (PACLIC-11), pages 372–381, Singapore, 2011. [pdf] [pdf] [bibtex]
  • Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert: "Authorship Attribution with Latent Dirichlet Allocation". In Proceedings of the 15th International Conference on Computational Natural Language Learning (CoNLL-11), pages 181–189, Portland, OR, USA, 2011. [pdf] [bibtex]
  • Yanir Seroussi, Fabian Bohnert, and Ingrid Zukerman: "Personalised Rating Prediction for New Users Using Latent Factor Models". In Proceedings of the 22nd International ACM Conference on Hypertext and Hypermedia (HT-11), pages 47–56, Eindhoven, The Netherlands, 2011. [bibtex] ACMLink
  • Fabian Bohnert and Ingrid Zukerman: "A User- and Item-Aware Weighting Scheme for Combining Predictive User Models". In Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10), pages 99–110, Waikoloa, HI, USA, 2010. [bibtex] SpringerLink
  • Fabian Bohnert and Ingrid Zukerman: "Personalised Pathway Prediction". In Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10), pages 363–368, Waikoloa, HI, USA, 2010. [bibtex] SpringerLink
  • Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert: "Collaborative Inference of Sentiments from Texts". In Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10), pages 195–206, Waikoloa, HI, USA, 2010. [bibtex] SpringerLink
  • Fabian Bohnert and Ingrid Zukerman: "Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits". In Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI-09), pages 656–665, Melbourne, VIC, Australia, 2009. [bibtex] SpringerLink ACMLink
  • Fabian Bohnert, Daniel F. Schmidt, and Ingrid Zukerman: "Spatial Processes for Recommender Systems". In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), pages 2022–2027, Pasadena, CA, USA, 2009. [abstract] [pdf] [pdf] [bibtex] ACMLink
  • Fabian Bohnert and Ingrid Zukerman: "Non-Intrusive Personalisation of the Museum Experience". In Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP-09), pages 197–209, Trento, Italy, 2009. Best Student Paper Award. [pdf] [bibtex] SpringerLink ACMLink
  • Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, and Liz Sonenberg: "Using Collaborative Models to Adaptively Predict Visitor Locations in Museums". In Proceedings of the Fifth International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH-08), pages 42–51, Hanover, Germany, 2008. [bibtex] SpringerLink ACMLink
  • Fabian Bohnert and Ingrid Zukerman: "Using Viewing Time for Theme Prediction in Cultural Heritage Spaces". In Proceedings of the 20th Australasian Joint Conference on Artificial Intelligence (AI-07), pages 367–376, Gold Coast, QLD, Australia, 2007. [bibtex] SpringerLink ACMLink

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Other refereed proceedings

  • Fabian Bohnert, Ingrid Zukerman, David W. Albrecht, and Timothy Baldwin: "Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance". In Proceedings of the Ninth Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP-11), held in conjunction with the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), pages 49–56, Barcelona, Spain, 2011. [pdf] [bibtex]
  • Fabian Bohnert: "Personalising the Museum Experience". In Proceedings of the 2010 Workshop on Pervasive User Modeling and Personalization (PUMP-10), held in conjunction with the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10), pages 33–36, Waikoloa, HI, USA, 2010. [pdf] [bibtex]
  • Fabian Bohnert, Ingrid Zukerman, and Daniel F. Schmidt: "Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits". In Proceedings of the Seventh Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP-09), held in conjunction with the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), pages 13–19, Pasadena, CA, USA, 2009. [pdf] [pdf] [bibtex]
  • Fabian Bohnert and Ingrid Zukerman: "A Computer-Supported Methodology for Recording and Visualising Visitor Behaviour in Museums". In Adjunct Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization (UMAP-09), pages 115–120, Trento, Italy, 2009. [pdf] [pdf] [bibtex]
  • Karl Grieser, Timothy Baldwin, Fabian Bohnert, and Liz Sonenberg: "Using Collaboratively Constructed Document Collections to Simulate Real-World Object Comparisons". In Proceedings of the 13th Australasian Document Computing Symposium (ADCS-08), pages 73–76, Hobart, TAS, Australia, 2008. [pdf] [bibtex]
  • Fabian Bohnert: "Adaptive User Modelling and Recommendation in Constrained Physical Environments". In Proceedings of the Fifth International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH-08), pages 378–383, Hanover, Germany, 2008. [bibtex] SpringerLink ACMLink
  • Fabian Bohnert: "Constraint-Aware User Modelling and Personalisation in Physical Environments". In Adjunct Proceedings of the Sixth International Conference on Pervasive Computing (Pervasive-08), pages 167–172, Sydney, NSW, Australia, 2008. [pdf] [pdf] [bibtex]

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Other publications

  • Yanir Seroussi, Fabian Bohnert, and Ingrid Zukerman: "Authorship Attribution with Author-aware Topic Models". Technical report 2012/268, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2012. [abstract] [pdf] [bibtex]
  • Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert: "Authorship Attribution with Latent Dirichlet Allocation", Technical report 2011/262, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2011. [abstract] [pdf] [bibtex]
  • Yanir Seroussi, Ingrid Zukerman, and Fabian Bohnert: "A User-Based Approach to Multi-Way Polarity Classification", Technical report 2010/253, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2010. [abstract] [pdf] [bibtex]
  • Fabian Bohnert, Daniel F. Schmidt, and Ingrid Zukerman: "Spatial Processes for Recommender Systems", Technical report 2009/238, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2009. [abstract] [pdf] [bibtex]
  • Fabian Bohnert: "Constraint-Aware User Modelling and Recommendation in Physical Environments such as Museums". Abstract presented at the HCSNet Workshop on Embodied Interaction in Mobile, Physical and Virtual Environments, Sydney, NSW, Australia, 2008. [abstract] [bibtex]
  • Fabian Bohnert: "Adaptive User Modelling and Recommendation in Constrained Physical Environments". Poster presented at the Monash 2008 Research Month Poster Exhibition (18/08/2008 - 04/09/2008), also displayed at the Monash e-Research Centre 2008 e-XPO Exhibition (19/08/2008 - 25/08/2008), Melbourne, VIC, Australia, 2008. Outstanding Poster Award. [jpg] [bibtex]
  • Fabian Bohnert and Ingrid Zukerman: "The Kubadji Project: Adaptive User Modelling and Personalisation for Improving the Museum Experience". Abstract presented at the Joint HCSNet-EII Workshop on Interactive and Ubiquitous Information Access, Sydney, NSW, Australia, 2008. [bibtex]
  • Fabian Bohnert, Ingrid Zukerman, Shlomo Berkovsky, Timothy Baldwin, and Liz Sonenberg: "Using Interest and Transition Models to Predict Visitor Locations in Museums", Technical report 2008/219, Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, 2008. [abstract] [pdf] [bibtex]
  • Fabian Bohnert: "Einsatz von Collaborative Filtering zur Datenprognose", Seminararbeit, Fakultät für Mathematik und Wirtschaftswissenschaften, Universität Ulm, Germany, 2004. [pdf] [pdf] [slides] [slides] [bibtex]
  • Fabian Bohnert and Dieter Kiesenbauer: "Elementare Bildverarbeitungsoperationen", Seminararbeit, Fakultät für Mathematik und Wirtschaftswissenschaften, Universität Ulm, Germany, 2003. [slides] [slides1] [slides2] [slides3] [bibtex]

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Theses

  • Fabian Bohnert: "Non-Intrusive User Modelling and Behaviour Prediction in Museums", Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, Ph.D. thesis, 2010. [web] [bibtex]
  • Fabian Bohnert: "Distribution-Based Estimation of Long-Term Spare Part Demands in the Automotive Industry", Fakultät für Mathematik und Wirtschaftswissenschaften, Universität Ulm, Germany, Diplomarbeit, 2006. [bibtex]

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Edited volumes

  • Lora Aroyo, Fabian Bohnert, Tsvi Kuflik, and Johan Oomen (eds.): Proceedings of the 2011 Workshop on Personalized Access to Cultural Heritage (PATCH-11), held in conjunction with the 15th International Conference on Intelligent User Interfaces (IUI-11), 2011. [web] [pdf] [pdf] [bibtex] ACMLink
  • Fabian Bohnert and Luz M. Quiroga (eds.): Adjunct Proceedings of the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10) – Posters and Demonstrations, 2010. [web] [pdf] [bibtex]
  • Shlomo Berkovsky, Fabian Bohnert, Francesca Carmagnola, Doreen Cheng, Dominikus Heckmann, Tsvi Kuflik, Petteri Nurmi, and Kurt Partridge (eds.): Proceedings of the 2010 Workshop on Pervasive User Modeling and Personalization (PUMP-10), held in conjunction with the 18th International Conference on User Modeling, Adaptation, and Personalization (UMAP-10), 2010. [web] [pdf] [bibtex]

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Datasets


  • Melbourne Museum dataset [dataset] [readme]

    The Melbourne Museum dataset comprises 158 complete visitor pathways in the form of time-annotated sequences of visited exhibit areas. The total viewing time is 240:00:28 hours. Overall, we gathered 8327 viewing durations at the 126 exhibit areas of Melbourne Museum, yielding an average of 52.7 exhibit areas per visitor (41.8% of the exhibit areas).

    Data collection took place between April and June 2008. We tracked only first-time adult visitors travelling on their own, to ensure that neither prior knowledge about the museum nor other visitors' interests influenced their decisions about which exhibit areas to view.

    Further information about the dataset and the tracking approach can be found in our journal paper [Bohnert and Zukerman, 2014]. Please cite [Bohnert and Zukerman, 2014] when you make use of the dataset.

    The dataset is also available from http://www.csse.monash.edu.au/research/umnl/data/kubadji/.

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Students


  • Yanir Seroussi (Ph.D. – full-time): "Text Mining and Rating Prediction with Topical User Models", Faculty of Information Technology, Monash University, Clayton, VIC 3800, Australia, Ph.D. thesis, 2012. [doi]

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Links


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