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07/24/2023
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study
Sequential Recommender Systems (SRSs) have been widely used to model use...
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07/24/2023
RRAML: Reinforced Retrieval Augmented Machine Learning
The emergence of large language models (LLMs) has revolutionized machine...
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05/18/2023
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Sequential Recommender Systems (SRSs) are a popular type of recommender ...
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07/27/2022
Encoding Concepts in Graph Neural Networks
The opaque reasoning of Graph Neural Networks induces a lack of human tr...
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10/05/2021
