用智能聊天机器人帮泰国创业者快速找外贸投资资料
Improving Access to Trade and Investment Information in Thailand through Intelligent Document Retrieval
- 融合BM25与深度学习模型，精准排序贸易文档
- 泰语查询实验显示检索准确率显著提升
- 用户满意度高，适合外贸初学者使用
海外投资与贸易对新手而言信息繁杂难懂。本文提出一种结合自然语言处理与信息检索的聊天机器人系统，通过识别最相关的内容，帮助用户更高效地应对复杂的跨境贸易与投资环境。方法上融合了BM25模型与深度学习模型，以降低文档噪声并提高结果准确性。基于泰语查询的实验验证了系统的有效性，用户满意度调查显示多数受访者认为系统有帮助且认可推荐内容，表明其在支持泰国创业者开展外向业务方面具有应用潜力。
原文摘要 · Abstract (English)
Overseas investment and trade can be daunting for beginners due to the vast amount of complex information. This paper presents a chatbot system that integrates natural language processing and information retrieval techniques to simplify the document retrieval process. The proposed system identifies the most relevant content, enabling users to navigate the intricate landscape of foreign trade and investment more efficiently. Our methodology combines the BM25 model and a deep learning model to rank and retrieve documents, aiming to reduce noise in the document content and enhance the accuracy of the results. Experiments with Thai natural language queries have demonstrated the effectiveness of our system in retrieving pertinent documents. A user satisfaction survey further validated the system's effectiveness. Most respondents found the system helpful and agreed with the suggested documents, indicating its potential as a valuable tool for Thai entrepreneurs navigating foreign trade and investment.
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