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SimCPSR: Simple Contrastive Learning for Paper Submission Recommendation System
This study suggests a more advanced method for enhancing the efficiency of the paper submission recommendation system compared to previous approaches when we respectively achieve 0. 5173, 0. 8097, 0. 8862, 0. 9496 for Top 1, 3, 5, and 10 accuracies on the test set for combining the title, abstract, and keywords as input features.
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