MACL augments item images and text to create contrastive views for items and sessions, weights them by a learned MLP, and outperforms existing session-based recommenders on three datasets.
McAuley, and Caiming Xiong
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Rethinking Contrastive Learning in Session-based Recommendation
MACL augments item images and text to create contrastive views for items and sessions, weights them by a learned MLP, and outperforms existing session-based recommenders on three datasets.