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Sequential recommendation systems aim to predict users' next likely interaction based on their history.
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Adversarial feature translation for multi-domain recommendation. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining . 2964–2973
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Text Is All You Need: Learning Language Representations for Sequential Recommendation. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023
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Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. In Proceedings of the ACM Web Conference 2023 . 383–394
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Towards Multi-Interest Pre-training with Sparse Capsule Network. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 311–320
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Where to go next for recommender systems? id-vs. modality-based recommender models revisited
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