Personalized event recommendation system in community-based healthcare

Social isolation and loneliness are serious public health issues with many adverse effects on individuals’ quality of life and well-being. Notably, these are growing problems in the aging population. Working from an existing prototype and extension of our previous Mitacs project, the main objective of this research project is to develop and optimize a personalized sequential recommendation system to address an individual’s flagged unmet needs or to advance identified personal goals based on their survey data in order to improve their quality of life and overall satisfaction. Recommendation options could include social events, service, educational or volunteer activities that are available within a neighbourhood geography according to their preferences.

Faculty Supervisor:

Pooya Moradian Zadeh

Student:

Partner:

Sinai Health, Health Commons Solutions Lab

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Windsor

Program: