Killian Levacher

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A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy particular user needs. However, this can require large volumes of content, with appropriate granularities and suitable meta-data descriptions. This represents a major impediment to the mainstream adoption of Adaptive Hypermedia. Open(More)
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Text segmentation (TS) aims at dividing long text into coherent segments which reflect the subtopic structure of the text. It is beneficial to many natural language processing tasks, such as Information Retrieval (IR) and document summarisation. Current approaches to text segmentation are similar in that they all use word-frequency metrics to measure the(More)
A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy a particular user's need, context or requirements. However, this requires large volumes of content, with appropriate granularities and suitable meta-data descriptions, representing a major impediment to the mainstream adoption of Adaptive(More)
The World Wide Web (WWW) provides access to a vast array of digital content, a great deal of which could be ideal for incorporation into eLearning environments. However, reusing such content directly in its native form has proven to be inadequate, and manually customizing it for eLearning purposes is labor-intensive. This paper introduces Slicepedia, a(More)
Content slicing addresses the need of adaptive systems to reuse open corpus material by converting it into re-composable information objects. However this conversion is highly dependent upon the ability to correctly fragment pages into structurally sound atomic pieces. A recently suggested approach to fragmentation, which relies on densitometric page(More)
The production of resources supporting the needs of Adaptive Hypermedia Systems (AHSs) is labor-intensive. As a result, content production is focused upon meeting the needs of resources with higher demand, which limits the extent to which numerous and diverse content requirements of AHSs can be met. Open Corpus Slicing attempts to convert the wealth of(More)
Researchers conducting evaluations in the fields of User Modelling and Personalisation face the challenge of missing continuing evaluation feedback and collaboration with the overall research community. This missing ability results in limitations such as missing feedback on evaluation approaches, missing insight into other potentially usable evaluation(More)
The production of resources supporting the needs of Adaptive Hypermedia Systems (AHS) is labor-intensive. As a result, content production is focused upon meeting the needs of resources with higher demand, which limits the extent upon which long tail content requirement niches of AHS can be met. Open corpus slicing attempts to convert the wealth of(More)