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In this paper, we present a generic model to enrich user profiles by means of contextual and temporal information. This reflecting the current interests of these users in every period of time defined by a search session, and infers data freshness. We argue that the annotation of resources gives more transparency on users' needs. Based on this idea, we integrate social tagging in order to exploit part...
A historically important tradition in exegesis, rooted in a number of scriptural passages, considers the Qur'an to be a self-similar text. This claim, while being sharply debated in literature, has never been independently tested. This paper proposes a strategy to measure self-similarity in classical Arabic texts, based on Leven-shtein distance, within the Self-Similar Qur'an (SSQ) project. The significance...
Due to changes in the development practices at Axis Communications, towards continuous integration, faster regression testing feedback is needed. The current automated regression test suite takes approximately seven hours to run which prevents developers from integrating code changes several times a day as preferred. Therefore we want to implement a highly selective yet accurate regression testing...
Prior research in neutrally-inspired perceptron predictors and Geometric History Length-based TAGE predictors has shown significant improvements in branch prediction accuracy by exploiting correlations in long branch histories. However, not all branches in the long branch history provide useful context. Biased branches resolve as either taken or not-taken virtually every time. Including them in the...
The IEEE Media Independent Handover (MIH) services are not aware of different user contexts, and thus cannot provide context-aware services to improve user experience. To address this problem, we extend MIH with a context-awareness module. More specifically, we present a context-aware mechanism for generating timely MIH Link Going Down (LGD) event that triggers handover preparation before losing the...
In this paper, we proposed a novel recommendation model based the synergistic use of knowledge from repository which includes users behavior and items property. This model defined user profile and item profile, and constructed the candidate recommendation set by using Formal Concept Analysis and extended inference. We attempted to apply FCA mapping the relationship between user's preference and item...
Traditional recommendation approaches do not consider the changes of user preferences according to context. As a result, these approaches consider the userpsilas overall preferences, although the user preferences on items varies according to his/her context. However, in our context-aware approach, we take into account not only user preferences, but also context information. Our approach can be easily...
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