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Article
Which noise affects algorithm robustness for learning to rank
When applying learning to rank algorithms in real search applications, noise in human labeled training data becomes an inevitable problem which will affect the performance of the algorithms. Previous work main...
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Article
Modeling Temporal Dynamics of Users’ Purchase Behaviors for Next Basket Prediction
Next basket prediction attempts to provide sequential recommendations to users based on a sequence of the user’s previous purchases. Ideally, a good prediction model should be able to explore the personalized ...
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Article
Open AccessDisentangled Graph Recurrent Network for Document Ranking
BERT-based ranking models are emerging for its superior natural language understanding ability. All word relations and representations in the concatenation of query and document are modeled in the self-attenti...
