User Settings
Open AccessArticle

Personalized Health Information Retrieval System.

Yunli Wang,Zhenkai Liu-2005-01-01-PubMed
11

TL;DRAbstract

Consumers face barriers when seeking health information on the Internet. A Personalized Health Information Retrieval System (PHIRS) is proposed to recommend health information for consumers. The system consists of four modules: (1) User modeling module captures user inverted exclamation mark s preference and health interests; (2) Automatic quality filtering module identifies high quality health information; (3) Automatic text difficulty rating module classifies health information into professional or patient educational materials; and (4) User profile matching module tailors health information for individuals. The initial results show that PHIRS could assist consumers with simple search strategies.

Chat with Paper

AI Agents for this Paper

Consumers face barriers when seeking health information on the Internet. A Personalized Health Information Retrieval System (PHIRS) is proposed to recommend health information for consumers. The system consists of four modules: (1) User modeling module captures user inverted exclamation mark s preference and health interests; (2) Automatic quality filtering module identifies high quality health information; (3) Automatic text difficulty rating module classifies health information into professional or patient educational materials; and (4) User profile matching module tailors health information for individuals. The initial results show that PHIRS could assist consumers with simple search strategies.

Keywords

Computer scienceThe InternetInformation retrievalQuality (philosophy)PreferenceHealth informationMatching (statistics)World Wide Web

Chat

Click to start Chat