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Identifying and understanding user intents is a pivotal task for E-Commerce.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
Preference-based clustering reviews for augmenting e-commerce recommendation
Li Chen and Feng Wang. 2013 · 2013
Earlier work this paper cites.
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network
Xiao Ding, Ting Liu, Junwen Duan, and Jian-Yun Nie. 2015 · 2015
Earlier work this paper cites.
Mining user intentions from medical queries: A neural network based heterogeneous jointly modeling approach
Chenwei Zhang, Wei Fan, Nan Du, and Philip S. Yu. 2016 · 2016
Earlier work this paper cites.
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
Earlier work this paper cites.
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019 · 2019
Cited alongside, same era.
ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
AliCoCo2: Commonsense Knowledge Extraction, Representation and Application in E-commerce
Xusheng Luo, Le Bo, Jinhang Wu, Lin Li, Zhiy Luo, Yonghua Yang, and Keping Yang. 2021 · 2021
Cited alongside, same era.
Dy-hien: Dynamic evolution based deep hierarchical intention network for membership prediction
Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, and Jian Wang. 2022 · 2022
Cited alongside, same era.
Construction and applications of billion-scale pre-trained multimodal business knowledge graph
Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, and Huajun Chen. 2023 · 2023
KATIE: A System for Key Attributes Identification in Product Knowledge Graph Construction
Btissam Er-Rahmadi, Arturo Oncevay, Yuanyi Ji, and Jeff Z Pan. 2023 · 2023
Later among the works it cites.
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, and Bing Yin. 2023 · 2023
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, and Luke Zettlemoyer. 2022 · 2023
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A Large-scale Offer Alignment Model for Partitioning Filtering and Matching Product Offers
Wenyu Huang, André Melo, and Jeff Z Pan. 2024 · 2024
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Cited alongside, same era.