[1]ZHOU Yongdong,TU Xuyan.Multi-commodity intelligent transaction system[J].CAAI Transactions on Intelligent Systems,2020,15(6):1188-1196.[doi:10.11992/tis.201909007]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
15
Number of periods:
2020 6
Page number:
1188-1196
Column:
吴文俊人工智能科学技术奖论坛
Public date:
2020-11-05
- Title:
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Multi-commodity intelligent transaction system
- Author(s):
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ZHOU Yongdong1; TU Xuyan2
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1. Beijing Xingzhao Management Consultancy Co., Ltd, Beijing 101149, China;
2. Institute of Computer Systems Science, University of Science and Technology Beijing, Beijing 100083, China
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- Keywords:
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closed-loop control; reproducing study; intelligent matching; multi commodity trading; random trading; quantized evaluation; scoring method; APP inspection
- CLC:
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TP18;F713.36
- DOI:
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10.11992/tis.201909007
- Abstract:
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In a netted multi-layer multi-variety transaction, multiple buyers are required to purchase hundreds of commodities from multiple sellers at one time. The multi-commodity intelligent trading system proposed in this study (hereinafter referred to as “the system”) establishes a closed-loop control strategy of commodity trading meta-knowledge; provides the queuing, pairing, and balance adjustment methods for the buyer and seller; and creates necessary conditions for intelligent trading. Standard specifications and quantitative parameters are checked according to personalized demands. Under the solution mechanism for matching two knowledge templates for commodity demands and their responses, intelligent movement completes the comprehensive scoring of commodity price, quality, and qualification, in turn enabling buyers to purchase satisfactory commodities in real time. The system transforms the current human–computer interaction for a single commodity purchase on an e-commerce platform into the purchase mode of a quantitative trading evaluation of commodities and simultaneous online trading of multiple commodities via artificial intelligence.