Collaborative filtering to quarterly index subjective well-being: case of Morocco

Abstract

This paper presents the results of a study conducted in Morocco to measure happiness of its citizens based on data regrouped from four surveys. Each participant in these surveys is characterized by Sex, age group, region, place of residence, family situation, and profession. 380 participants answered 45 questions in each survey. In the case of missing data, a collaborative filtering approach was adopted to predict the missing answer from gathered answers by exploiting the similarity between participants according to their characteristics. The obtained results were analyzed using simple random analysis regarding each key variation under the main theory. Kruskal-Wallis test and Mann-Whitney test were conducted

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