A Query-oriented Approach for Relevance in Citation Networks
A Query-oriented Approach for Relevance in Citation Networks
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DOI：
10.1145/2872518.2890518
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发表时间：
2016-04
期刊：
影响因子：
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通讯作者：
Luam C. Totti;P. Mitra;M. Ouzzani;Mohammed J. Zaki
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文献类型：
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作者：
Luam C. Totti;P. Mitra;M. Ouzzani;Mohammed J. Zaki
为给定的感兴趣主题找到一组相关的出版物是一个具有挑战性的问题。我们提出了一种两阶段的查询相关方法，用于在给定基于关键字的查询的情况下检索相关论文。在第一阶段，我们利用内容相似性来选择出版物的初始种子集；然后，我们通过引用上下文相关性和基于年龄的衰减等信息加权的引用链接来增强它们。在第二阶段，我们构建一个多层图，通过包含作者、地点和关键词的链接来扩展出版物子图。这使我们能够返回高度权威且与查询文本相关的推荐。我们表明，我们的分阶段方法在三个不同的基准查询集上给出了优异的结果。
Finding a relevant set of publications for a given topic of interest is a challenging problem. We propose a two-stage query-dependent approach for retrieving relevant papers given a keyword-based query. In the first stage, we utilize content similarity to select an initial seed set of publications; we then augment them by citation links weighted with information such as citation context relevance and age-based attenuation. In the second stage, we construct a multi-layer graph that expands the publications subgraph by including links to the authors, venues, and keywords. This allows us to return recommendations that are both highly authoritative, and also textually related to the query. We show that our staged approach gives superior results on three different benchmark query sets.