A recommender system for prostate cancer websites.
One of the challenges for people seeking health information online is the difficulty in locating health Websites that are personally relevant, credible and useful. We developed a Web-based recommender system in order to help address this problem in the context of prostate cancer. We are conducting an online randomized controlled trial to evaluate the accuracy of its recommendations and to compare the efficacy of content-based and collaborative filtering.
Witteman
Holly
H
University of Toronto, Toronto, Ontario, Canada.
Chignell
Mark
M
Krahn
Murray
M
D054626:Consumer Health Information / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D005103:Expert Systems; D006801:Humans; D020407:Internet; D008297:Male; D011471:Prostatic Neoplasms; D057386:Search Engine; D014584:User-Computer Interface