title: A tag based recommendation engine to suggest information resources in an online community for health promotion.
abstract: WEB 2.0 or the "social web" has created a new paradigm of collaborative information creation, organization and consumption. Among these, the social process of "tagging" has emerged as a bottom-up user-driven method to index content. We describe the use of tags as a way to connect users to resources in an online community that we are developing which utilizes social content creation and collaboration to promote health. Such connections are the basis of a recommendation engine that will suggest users a) other users who have similar health profiles, b) relevant information resources such as articles or blogs on health promotion and c) community resources such as local health facilities.
authors.affiliation: Department of Biomedical Informatics, Columbia University, New York, NY, USA.
authors.forename: Sharib A
authors.initials: SA
authors.lastname: Khan
authors.forename: Alwyn
authors.initials: A
authors.lastname: Cohall
authors.forename: Rita
authors.initials: R
authors.lastname: Kukafka
mesh_terms: D057225:Data Mining / Q000379:methods*; D006293:Health Promotion / Q000145:classification* / Q000379:methods*; D033181:Information Dissemination / Q000379:methods*; D020407:Internet; D009323:Natural Language Processing; D009862:Online Systems; D057386:Search Engine / Q000379:methods*; D013358:Subject Headings; D014481:United States