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Anisotropic propagation of user interests in ontology-based user models

机译:在基于本体的用户模型中的用户兴趣的各向异性传播

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摘要

This work contributes to the development of ontology-based user models, devised as overlays over conceptual hierarchies derived from domain ontologies. We tackle the problem of propagation of user interests in such a conceptual hierarchy. In addition to accounting for the hierarchical structure of the domain and the type and amount of feedback provided by the user, the principal contributions introduced in this work are: (i) propagation which enables propagation among siblings, in addition to vertical propagation among ancestors and descendants; (ii) vertical propagation which permits user interests to be propagated differently upward and downward; (iii) which introduces the possibility to propagate differently according to various contexts for specific applications; (iv) , i.e. preserving the user interest values when adding or removing a node from the conceptual hierarchy. Our approach supports finer recommendation modalities and contributes to the resolution of the cold start problem, since it allows for propagation from a small number of initial concepts to other related domain concepts by exploiting the conceptual hierarchy of the domain. A field evaluation confirmed the effectiveness of our approach w.r.t. the traditional vertical propagation.
机译:这项工作为基于本体的用户模型的开发做出了贡献,该模型被设计为覆盖从领域本体派生的概念层次结构上。我们在这种概念层次结构中解决了用户兴趣传播的问题。除了考虑域的层次结构以及用户提供的反馈的类型和数量外,这项工作引入的主要贡献是:(i)传播,除了在祖先之间垂直传播外,还可以在同胞之间传播。子孙; (ii)垂直传播,允许用户兴趣向上和向下不同地传播; (iii)引入了针对特定应用根据各种环境进行不同传播的可能性; (iv),即在从概念层次结构添加或删除节点时保留用户兴趣值。我们的方法支持更好的推荐方式,并有助于解决冷启动问题,因为它允许通过利用领域的概念层次结构,从少量初始概念传播到其他相关领域概念。现场评估证实了我们采用w.r.t.传统的垂直传播。

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