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A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation., , , and . CIKM, page 2923-2932. ACM, (2022)Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation., , , , and . CIKM, page 2442-2451. ACM, (2023)Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning., , , and . KDD, page 1929-1937. ACM, (2022)Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation., , , , and . KDD, page 539-547. ACM, (2019)Improving Conversational Recommendation Systems via Counterfactual Data Simulation., , , , , , and . KDD, page 2398-2408. ACM, (2023)Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models., , , , , and . EMNLP (1), page 3875-3887. Association for Computational Linguistics, (2021)Group-Scheme: SIMD-based compression algorithms for web text data., , , and . IEEE BigData, page 525-530. IEEE Computer Society, (2013)Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network., , , , and . EMNLP/IJCNLP (1), page 4809-4819. Association for Computational Linguistics, (2019)Counterfactual Data-Augmented Sequential Recommendation., , , , , , and . SIGIR, page 347-356. ACM, (2021)Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation., , , , , and . NLPCC (2), volume 14303 of Lecture Notes in Computer Science, page 416-427. Springer, (2023)