Paper-Conference

User nutrition modelling and recommendation - Balancing simplicity and complexity
In order to use and model nutritional knowledge in a food recommender system, uncertainties regarding the users nutritional state and …
H. Schäfer, M. Elahi, D. Elsweiler, G. Groh, M. Harvey, B. Ludwig, F. Ricci, Alan Said
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Engendering health with recommender systems: Workshop abstract
The first Workshop on Engendering Health with Recom- mender Systems was organized in conjunction with ACM RecSys 2016. The focus of the …
D. Elsweiler, B. Ludwig, Alan Said, H. Schäfer, C. Trattner
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Predicting Vulnerability Exploits in the Wild
Every day numerous new vulnerabilities and exploits are reported for a wide variety of different software configurations. There is a …
M. Edkrantz, S. Truve, Alan Said
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Workshop on surprise, opposition, and obstruction in adaptive and personalized
The phenomenon often referred to as the “filter-bubble,” i.e., the effect that collaborative, as well as content-based recommender …
P. Knees, K. Andersen, Alan Said, M. Tkalčič
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5th Workshop on Context-Awareness in Retrieval and Recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
Ernesto William De Luca, Alan Said, Fabio Crestani, David Elsweiler
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Bringing the "healthy" into food recommenders
In this position statement we have discussed recommender systems in the con-text of healthy nutrition. Although recommender systems …
D. Elsweiler, M. Harvey, B. Ludwig, Alan Said
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Predicting Cyber Vulnerability Exploits with Machine Learning
For an information security manager it can be a daunting task to keep up and assess which new cyber vulnerabilities to prioritize …
Michel Edkrantz, Alan Said
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Replicable evaluation of recommender systems
Recommender systems research is by and large based on comparisons of recommendation algorithms’ predictive accuracies: the better …
Alan Said, A. Bellogín
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4th Workshop on Context-Awareness in Retrieval and Recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
Alan Said, Ernesto William De Luca, Daniele Quercia, Matthias Böhmer
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An extended data model format for composite recommendation
Current de facto data model standards in the recommender systems field do not support easy encoding of heterogeneous data aspects such …
Alan Said, B. Loni, R. Turrin, A. Lommatzsch
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