Work

HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers

Year: 2022

Type: conference-paper

Source: ACM Conference on Recommender Systems (RecSys)

DOI: 10.1145/3523227.3551471

Authors: Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Maulikmihir Thaker, Zhimeng Luo, Young Ji Lee

Institution: University of Pittsburgh

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4296604556

FWCI: 1.906

Cites: 11

Cited by: 9

Related to: 10