This paper explores the identification of expert users within online communities, focusing on discussion groups. It introduces an effective expert ranking algorithm called ExpertRank, which combines content relevance from discussion threads and authority derived from social interactions using a modified PageRank algorithm to address expert spamming issues. The integration of these elements through a cascade strategy ensures that top-ranked experts are both relevant to specific queries and authoritative in their fields, as demonstrated by experimental results.
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Jiao, Jian, et al. "Expertrank: An expert user ranking algorithm in online communities." 2009 International Conference on New Trends in Information and Service Science. IEEE, 2009.
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