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Modern online service providers such as online shopping platforms often provide both search and recommendation (S&R) services to meet different user needs.
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Hamed Zamani and W. Bruce Croft. 2018 · 2018
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Deep Interest Network for Click-Through Rate Prediction. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (London, United Kingdom) (KDD ’18) . Association for Computing Machinery, New York, NY, USA, 1059–1068
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Attentive Long Short-Term Preference Modeling for Personalized Product Search
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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (Beijing, China) (CIKM ’19) . ACM, New York, NY, USA, 1441–1450
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Neural News Recommendation with Heterogeneous User Behavior. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics, Hong Kong, China, 4874–4883
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Graph Contextualized Self-Attention Network for Session-Based Recommendation. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (Macao, China) (IJCAI’19) . AAAI Press, 3940–3946
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Deep interest evolution network for click-through rate prediction. In Proceedings of the AAAI conference on artificial intelligence , Vol. 33. 5941–5948
Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, and Kun Gai. 2019 · 2019
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Disentangled Self-Supervision in Sequential Recommenders. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (Virtual Event, CA, USA) (KDD ’20) . Association for Computing Machinery, New York, NY, USA, 483–491
Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, and Wenwu Zhu. 2020 · 2020
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Learning a Joint Search and Recommendation Model from User-Item Interactions. In Proceedings of the 13th International Conference on Web Search and Data Mining (Houston, TX, USA) (WSDM ’20) . Association for Computing Machinery, New York, NY, USA, 717–725
Hamed Zamani and W. Bruce Croft. 2020 · 2020
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Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, and Ji-Rong Wen. 2021 · 2021
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Query-Aware Sequential Recommendation. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (Atlanta, GA, USA) (CIKM ’22) . Association for Computing Machinery, New York, NY, USA, 4019–4023
Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, and Julian Mcauley. 2022 · 2022
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CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. In SIGIR ’22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 . ACM, 1796–1801
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, and Wayne Xin Zhao. 2022 · 2022
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A Model-Agnostic Causal Learning Framework for Recommendation Using Search Data. In Proceedings of the ACM Web Conference 2022 (Virtual Event, Lyon, France) (WWW ’22) . Association for Computing Machinery, New York, NY, USA, 224–233
Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, and Ji-Rong Wen. 2022 · 2022
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Re4: Learning to Re-Contrast, Re-Attend, Re-Construct for Multi-Interest Recommendation. In Proceedings of the ACM Web Conference 2022 (Virtual Event, Lyon, France) (WWW ’22) . Association for Computing Machinery, New York, NY, USA, 2216–2226
Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-seng Chua, and Fei Wu. 2022 · 2022
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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
Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, and Xiaoyi Zeng. 2022 · 2022
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Disentangling Long and Short-Term Interests for Recommendation. In Proceedings of the ACM Web Conference 2022 (Virtual Event, Lyon, France) (WWW ’22) . Association for Computing Machinery, New York, NY, USA, 2256–2267
Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, and Yong Li. 2022 · 2022
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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
Kun Zhou, Hui Yu, Wayne Xin Zhao, and Ji-Rong Wen. 2022 · 2022
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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. 2023 · 2023
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