Towards a context-sensitive online newspaper

Authors:
Jeremy Jancsary;Friedrich Neubarth;Stephanie Schreitter;Harald Trost
Affiliations:
Austrian Research Institute for Artificial Intelligence;Austrian Research Institute for Artificial Intelligence;Austrian Research Institute for Artificial Intelligence;Medical University of Vienna
Venue:
Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation
Year:
2011

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Abstract

We give a detailed account of our experiences in implementing a personalized online newspaper that draws---among other hints---on the context of the user. At the algorithmic core of our framework lies a machine learning model that incorporates numerous features of the eligible articles and the user's current situation. Some of the most important design decisions, however, concern the presentation of suggestions, the collection of explicit and implicit feedback, as well as diversity of the recommendations. We present numerical results obtained during the pilot phase of the project that address a number of these concerns and end with a discussion of open questions and future directions.