179 research outputs found

    Group Modeling : selecting a sequence of television items to suit a group of viewers

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    The STANDUP 2 Interactive Riddle Builder

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    The Effectiveness of Personalized Movie Explanations : An Experiment Using Commercial Meta-data

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    Adapting Progress Feedback and Emotional Support to Learner Personality

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    Layered evaluation of interactive adaptive systems : framework and formative methods

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    Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation

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    Recommender systems have been widely applied in the literature to suggest individual items to users. In this paper, we consider the harder problem of package recommendation, where items are recommended together as a package. We focus on the clothing domain, where a package recommendation involves a combination of a "top'' (e.g. a shirt) and a "bottom'' (e.g. a pair of trousers). The novelty in this work is that we combined matrix factorisation methods for collaborative filtering with hand-crafted and learnt fashion constraints on combining item features such as colour, formality and patterns. Finally, to better understand where the algorithms are underperforming, we conducted focus groups, which lead to deeper insights into how to use constraints to improve package recommendation in this domain

    Kindness is contagious : Exploring engagement in a gamified persuasive intervention for wellbeing

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    The authors would like to acknowledge and thank all the volunteers who participated in this pilot study and provided helpful comments. The first author is funded by an EPSRC doctoral training grant.Peer reviewedPublisher PD

    Designing emotional support messages tailored to stressors

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    Acknowledgements This work was funded by the RCUK Digital Economy award to the dot.rural Digital Economy Hub, University of Aberdeen; award reference: EP/G066051/1. The dataset used by this paper can be acquired by emailing the first author. We thank Matt Dennis, Kirsten A. Smith and Michael Gibson for their contributions to the research.Peer reviewedPublisher PD
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