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Nowadays, many platforms provide users with both search and recommendation services as important tools for accessing information.
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A transformer-based embedding model for personalized product search. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval . 1521–1524
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi. 2021 · 2021
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Contrastive learning for sequential recommendation. In 2022 IEEE 38th international conference on data engineering (ICDE) . IEEE, 1259–1273
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Joint Learning of E-Commerce Search and Recommendation with a Unified Graph Neural Network. In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (Virtual Event, AZ, USA) (WSDM ’22) . Association for Computing Machinery, New York, NY, USA, 1461–1469
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Filter-Enhanced MLP is All You Need for Sequential Recommendation. In Proceedings of the ACM Web Conference 2022 (Virtual Event, Lyon, France) (WWW ’22) . Association for Computing Machinery, New York, NY, USA, 2388–2399
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Contrastive Learning for User Sequence Representation in Personalized Product Search. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023 . ACM, 380–389
Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, and Ji-Rong Wen. 2023 · 2023
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An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management . 4595–4601
Yuqi Gong, Xichen Ding, Yehui Su, Kaiming Shen, Zhongyi Liu, and Guannan Zhang. 2023 · 2023
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Enhancing Recommendation with Search Data in a Causal Learning Manner
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Yang Song, Xiaoxue Zang, and Ji-Rong Wen. 2023a · 2023
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When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 . ACM, 1313–1323
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, and Ji-Rong Wen. 2023b · 2023
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KuaiSAR: A Unified Search And Recommendation Dataset. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management . 5407–5411
Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Dewei Leng, Yanan Niu, Yang Song, Xiao Zhang, and Jun Xu. 2023 · 2023
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Multi-Task Deep Recommender Systems: A Survey
Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, and Ruiming Tang. 2023 · 2023
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UnifiedSSR: A Unified Framework of Sequential Search and Recommendation
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To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, and Jun Xu. 2024 · 2024
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