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SXRS: An XLink-based Recommender System using Semantic Web technologies
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DOI：10.1016/j.eswa.2008.02.062.png)
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摘要
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Traditional recommender systems adopt a static view of the recommendation process and treat it as a prediction problem. We argue that it is more appropriate to view the problem of generating recommendation lists as a dynamic link generation and it is feasible to apply the XML Link Language (XLink) for a novel recommendation solution. However, XLink lacks knowledge and semantic representation to cope with the computer-interpretable effects. In this paper, we address the issue developing an Semantic XLink Recommendation System (SXRS), which is based on semantic web technologies and is composed of XLink base, knowledge base, Search Engine, and Inference Engine to provide three different approaches to represent the linking knowledge - XLink-based metadata, ontology-based reasoning, and rule-based inference. To illustrate the SXRS applications, we implemented an academic domain recommender system that offers dynamic recommendation lists to assist student to plan semester courses. (C) 2008 Elsevier Ltd. All rights reserved.
Keyword:
Recommender Systems
XLink
Semantic Web
OWL
SWRL
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7.5
论文数:
3.0W
被引数:
10.2W
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The Semantic Web - A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities语义网-一种对计算机有意义的新形式的网络内容将引发一场新可能性的革命.png)
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