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Genome Inform. 2007;18:267-76.

PURE: a PubMed article recommendation system based on content-based filtering.

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Bioinformatics Center, Kyoto University, Gokasho Uji, 611-0011, Japan.


We have developed a PubMed article recommendation system, PURE, which is based on content-based filtering. PURE has a web interface by which users can add/delete their preferred articles. Once articles are registered, PURE then performs model-based clustering of the preferred articles and recommends the highly-rated articles by the prediction using the trained model. PURE updates the PubMed articles and reports the recommendation by email on daily-base. This system will be helpful for biologists to reduce the time required for gathering information from PubMed. PURE is downloadable under GPL license, via

[Indexed for MEDLINE]

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