HealthRecSys: A semantic content-based recommender system to complement health videos.
Carlos Luis Sanchez BocanegraJose Luis Sevillano RamosCarlos RizoAnton CivitLuis Fernandez-LuquePublished in: BMC medical informatics and decision making (2017)
Our study demonstrates the feasibility of using a semantic content-based recommender system to enrich YouTube health videos. Evaluation with end-users, in addition to healthcare professionals, will be required to identify the acceptance of these recommendations in a nonsimulated information-seeking context.