Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

KDD, pp. 1930-1939, 2018.

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With experiments on benchmark dataset and a real large-scale recommendation system, we demonstrate the success of the proposed method over several state-of-the-art baseline multi-task learning models

Abstract:

Neural-based multi-task learning has been successfully used in many real-world large-scale applications such as recommendation systems. For example, in movie recommendations, beyond providing users movies which they tend to purchase and watch, the system might also optimize for users liking the movies afterwards. With multi-task learning,...More

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