Method for generating improved question-answer pair quality by using retrieval enhancement

By constructing high-quality question-and-answer pairs specific to the scenic area, using TF-IDF and K-Means clustering algorithms to select seed question-and-answer pairs, and combining them with retrieval enhancement generation technology, the problem of knowledge deficiency in large language models in cultural tourism scenic areas has been solved, achieving efficient and accurate question-and-answer services, and improving the tourist experience and the competitiveness of the scenic area.

CN121858702APending Publication Date: 2026-04-14TAIYUAN UNIVERSITY OF TECHNOLOGY +1
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Patent Information

Application Number
CN202512037235.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-31
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing large language models lack specific knowledge for cultural tourism scenic spots, resulting in poor question-and-answer performance, an inability to respond to diverse tourist questions in a timely and effective manner, and an impact on the tourist experience.

Method used

By selecting a language model, acquiring and cleaning relevant corpora, generating question-answer pairs, selecting seed question-answer pairs, retrieval enhancement to generate reconstructed question-answer pairs, and manual annotation, high-quality question-answer pairs for specific scenic spots are constructed. TF-IDF and K-Means clustering algorithms are used to select seed question-answer pairs, and retrieval enhancement generation technology is combined to improve the quality of question-answer pairs.

Benefits of technology

It significantly improved the accuracy and diversity of question-and-answer pairs, shortened response time, enhanced the visitor experience, strengthened the scenic area's competitive advantage, reduced operating costs, and promoted the intelligent management of the scenic area and the development of smart tourism.

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Abstract

According to the field of natural language processing annotation data acquisition and quality prompting in text travel, in the field of traditional natural language processing, when a question and answer scene contains complex questions with rich background information, the challenge that the quality of generated answers is insufficient is often faced, and the ability of a natural language model trained through question and answer pairs in a special field is limited; the invention provides a method for generating improved question and answer pair quality by utilizing retrieval enhancement, which comprises the following steps of: selecting a language model through a multi-dimensional evaluation mechanism, acquiring text data related to a theme by adopting a mode of combining a web crawler and field investigation, cleaning and sorting the data, constructing a comprehensive text database, screening seed question and answer pairs, and obtaining the quality of the improved question and answer pairs. It is ensured that the generated question and answer pairs are sufficient in number and credible in content, and the question and answer pairs are further optimized through expert feedback and annotation so as to provide more accurate and high-quality answers; according to the method, the response efficiency and the answer accuracy of the question answering system in processing complex questions are remarkably improved.
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