Format

Send to

Choose Destination
Genome Inform. 2007;18:267-76.

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

Author information

1
Bioinformatics Center, Kyoto University, Gokasho Uji, 611-0011, Japan. t-yoneya@kirin.co.jp

Abstract

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 www.bic.kyoto-u.ac.jp/pathway/mami/out/PURE.tar.gz.

PMID:
18546494
[Indexed for MEDLINE]

Supplemental Content

Loading ...
Support Center