"An Evaluation on User ProfilingMethodologies and the Challenges Associated with it in Recommender Systems"

One of the important tasks of building a recommendation system is analyzing the characteristics of users’ interests. This is often referred to as user profiling.User profiling refers to the extraction of user labels on different attributes such as age, gender, occupation, income, and interests. Complete and accurate attribute labels will effectively reveal the inherent characteristics of users, thus greatly facilitating accurate personalized recommendations.