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Product bundling aims to organize a set of thematically related items into a combined bundle for shipment facilitation and item promotion.
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Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, and U Kang. 2024 · 2024
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Harnessing Large Language Models for Multimodal Product Bundling
Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, and Tat-seng Chua. 2024 · 2024
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MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, and Tat-Seng Chua. 2024a · 2024
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LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining . 2524–2535
Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, and Tat-Seng Chua. 2024 · 2024
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A Survey on Bundle Recommendation: Methods, Applications, and Challenges
Meng Sun, Lin Li, Ming Li, Xiaohui Tao, Dong Zhang, Peipei Wang, and Jimmy Xiangji Huang. 2024b · 2024
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