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- Title
PubMed related articles: a probabilistic topic-based model for content similarity.
- Authors
Lin, Jimmy; Wilbur, W John
- Abstract
We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document is about a particular topic is computed from term frequencies, modeled as Poisson distributions. Unlike previous probabilistic retrieval models, we do not attempt to estimate relevance-but rather our focus is "relatedness", the probability that a user would want to examine a particular document given known interest in another. We also describe a novel technique for estimating parameters that does not require human relevance judgments; instead, the process is based on the existence of MeSH in MEDLINE.
- Publication
BMC bioinformatics, 2007, Vol 8, p423
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-8-423