A recommender model conditioned on a multi-dimensional goal vector of future click and purchase rewards outperforms multi-objective baselines on two e-commerce datasets with lower computational cost.
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Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
A recommender model conditioned on a multi-dimensional goal vector of future click and purchase rewards outperforms multi-objective baselines on two e-commerce datasets with lower computational cost.