Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems

Furkan Durmus, Hasan Saribas, Said Aldemir +2

Multi-Task Learning (MTL) plays a crucial role in real-world advertising applications such as recommender systems, aiming to achieve robust representations while minimizing resourc…