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The importance of recommender systems is growing rapidly due to the exponential increase in the volume of content generated daily.
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Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction
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ANR: Aspect-based neural recommender. In Proceedings of the 27th ACM International conference on information and knowledge management . 147–156
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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 . 1059–1068
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
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A capsule network for recommendation and explaining what you like and dislike. In Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval . 275–284
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Deep learning recommendation model for personalization and recommendation systems
Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G Azzolini, et al · 2019
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CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, Minneapolis, Minnesota, 4149–4158
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NPA: neural news recommendation with personalized attention. In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining . 2576–2584
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Lightgcn: Simplifying and powering graph convolution network for recommendation. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 639–648
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Criminal Consistency and Distinctiveness. In 2020 Systems and Information Engineering Design Symposium (SIEDS) . IEEE, 1–3
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Sequential group recommendations based on satisfaction and disagreement scores
Maria Stratigi, Evaggelia Pitoura, Jyrki Nummenmaa, and Kostas Stefanidis. 2022 · 2022
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Changing presidential approval: Detecting and understanding change points in interval censored polling data
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Chain-of-thought prompting elicits reasoning in large language models
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Knowledge graph-based multi-context-aware recommendation algorithm
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Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management . 2685–2692
Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, and Kun Gai. 2020 · 2020
Cited alongside, same era.
Towards automated neural interaction discovery for click-through rate prediction. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . 945–955
Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, and Xia Hu. 2020 · 2020
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MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. In Proceedings of the 34th International Conference on Neural Information Processing Systems . 5776–5788
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, and Ming Zhou. 2020 · 2020
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CNN-RNN based intelligent recommendation for online medical pre-diagnosis support
Xiaokang Zhou, Yue Li, and Wei Liang. 2020 · 2020
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Anchor-based collaborative filtering. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management . 2877–2881
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, and Noam Koenigstein. 2021 · 2021
Cited alongside, same era.
Training Verifiers to Solve Math Word Problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman. 2021 · 2021
Cited alongside, same era.
An embedding learning framework for numerical features in ctr prediction. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining . 2910–2918
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, and Xiuqiang He. 2021 · 2021
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BERT: a review of applications in natural language processing and understanding
Mikhail V Koroteev. 2021 · 2021
Cited alongside, same era.
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Two-level graph path reasoning for conversational recommendation with user realistic preference. In proceedings of the 31st ACM international conference on information & knowledge management . 2701–2710
Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, and Siyu Sun. 2022 · 2022
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Explainable session-based recommendation with meta-path guided instances and self-attention mechanism. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval . 2555–2559
Jiayin Zheng, Juanyun Mai, and Yanlong Wen. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Uncovering chatgpt’s capabilities in recommender systems. In Proceedings of the 17th ACM Conference on Recommender Systems . 1126–1132
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. 2023 · 2023
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Chat-rec: Towards interactive and explainable llms-augmented recommender system
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023
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News Summarization and Evaluation in the Era of GPT-3
Tanya Goyal, Junyi Jessy Li, and Greg Durrett. 2023 · 2023
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Large Language Models Understand and Can be Enhanced by Emotional Stimuli
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, and Xing Xie. 2023 · 2023
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Sentiment Analysis through LLM Negotiations
Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, and Guoyin Wang. 2023 · 2023
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GPT-RE: In-context Learning for Relation Extraction using Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, Singapore, 3534–3547
Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, and Sadao Kurohashi. 2023 · 2023
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Zero-shot next-item recommendation using large pretrained language models
Lei Wang and Ee-Peng Lim. 2023 · 2023
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Generative recommendation: Towards next-generation recommender paradigm
Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, and Tat-Seng Chua. 2023a · 2023
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Empirical Study of Zero-Shot NER with ChatGPT. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, Singapore, 7935–7956
Tingyu Xie, Qi Li, Jian Zhang, Yan Zhang, Zuozhu Liu, and Hongwei Wang. 2023 · 2023
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Heterogeneous knowledge fusion: A novel approach for personalized recommendation via llm. In Proceedings of the 17th ACM Conference on Recommender Systems . 599–601
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, and Wei Lin. 2023 · 2023
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Time of week intensity estimation from partly interval censored data with applications to police patrol planning
Jiahao Tian and Michael D Porter. 2024 · 2024
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Google Restaurants Rating [recommendation system]
Haowen Wang. 2023 · 2024
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GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process.. In Proceedings of the Joint Workshop of the 8th Financial Technology and Natural Language Processing, and the 1st Workshop on Agent AI for Scenario Planning @ IJCAI 2024
Yining Wang, Jinman Zhao, and Yuri Lawryshyn. [n. d.] · 2024
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