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A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation.

, , , and . CIKM, page 2923-2932. ACM, (2022)

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Universal Multi-modal Multi-domain Pre-trained Recommendation., , , , and . CoRR, (2023)Leveraging Search History for Improving Person-Job Fit., , , , , , and . DASFAA (1), volume 13245 of Lecture Notes in Computer Science, page 38-54. Springer, (2022)IcoRating: A Deep-Learning System for Scam ICO Identification., , , , , , , , , and 2 other author(s). CoRR, (2018)A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation., , , and . CIKM, page 2923-2932. ACM, (2022)Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network., , , , and . EMNLP/IJCNLP (1), page 4809-4819. Association for Computational Linguistics, (2019)Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation., , , , , , and . CIKM, page 3737-3746. ACM, (2021)Temporal Contrastive Pre-Training for Sequential Recommendation., , , , and . CIKM, page 1925-1934. ACM, (2022)Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value., , , , , , , and . KDD, page 3806-3816. ACM, (2021)RecBole 2.0: Towards a More Up-to-Date Recommendation Library., , , , , , , , , and 9 other author(s). CIKM, page 4722-4726. ACM, (2022)Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion., , , , , and . KDD, page 1006-1014. ACM, (2020)