Conference Indexing in Digital Libraries: A Ranking Model and Case Study on dblp

Digital library curators make relevance decisions in their daily work to prioritize the most urgent metadata updates. In this work, we propose a complex relevance and ranking model to support the decision and prioritization process of digital library curators. Our approach incorporates different aspects of relevance decisions into a framework for feasible data quality management in digital libraries. A case study demonstrates the effects of the factors we use to model these aspects.