Expertise modeling for matching papers with reviewers

By David Mimno, Andrew McCallum. Knowledge Discovery and Data Mining, 2007

306 citations recorded by the source corpus.

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Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression (2008, methodology): “Similar models, in which a hidden variable selects one of several multinomials over topics, are presented by Mimno and McCallum [11] for modeling expertise by multiple topical mixtures associated with each individual author, by McCallum, Corrada-Emmanuel, and Wang [9] for authors and recipients of…”
Cross-domain collaboration recommendation (2012, background): “Mimno et al. [23] and Tang et al. [33] studied the problem of paper-reviewer recommendation, a subtask of expert ﬁnding.”
ArnetMiner: extraction and mining of academic social networks (2008, background): “Recently, probabilistic topic models such as probabilistic Latent Semantic Indexing (pLSI) [17], Latent Dirichlet Allocation (LDA) [8], and Author-Topic model [25] [26] have been proposed as well as successfully applied to multiple text mining tasks such as information retrieval [29], collaborative ”
Topic and Role Discovery in Social Networks (2005, background): “Another more recent model that associates topics with people is the Author-Persona-Topic (APT) model ( Mimno & McCallum, 2007 ).”
Topic Modeling Using Latent Dirichlet allocation (2021, background): “It fetched the set of experts(based on past data) for the evaluation of the given research article [93].”