Can we leverage rating patterns from traditional users to enhance recommendations for children?
Ion Madrazo Azpiazu, Micahel Green, Oghenemaro Anuyah, and Maria Soledad Pera. 2018. “Can we leverage rating patterns from traditional users to enhance recommendations for children?”. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys 2018 Late-Breaking Results).
Recommender algorithms performance is often associated with the availability of sufficient historical rating data. Unfortunately, when it comes to children, this data is seldom available. In this paper, we report on an initial analysis conducted to examine the degree to which data about traditional users, i.e., adults, can be leveraged to enhance the recommendation process for children.