Design of a Tourism Area Dining Recommendation System Based on Autoabstract Technology

This study aims to address the issue of tourists choosing suitable restaurants and food in tourist areas, and proposes a tourist area dining recommendation system based on automatic summarization technology. The system utilizes web content scraping robots, a topic-aware Transformer model, and automa...

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Bibliographic Details
Published in2024 7th International Conference on Computer Information Science and Application Technology (CISAT) pp. 719 - 722
Main Authors Qin, Jilin, Aviles, Joey S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.07.2024
Subjects
Autoabstract
Computational modeling
Dining recommendations
Information Retrieval
Information science
Parallel processing
Real-time systems
Recommender systems
Reviews
Robots
Technological innovation
Text summarization
Theme Perception
Transformer Model
Transformers
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Summary:This study aims to address the issue of tourists choosing suitable restaurants and food in tourist areas, and proposes a tourist area dining recommendation system based on automatic summarization technology. The system utilizes web content scraping robots, a topic-aware Transformer model, and automatic summarization technology to automatically obtain introductions and summary comments for various restaurants in tourist areas, and to provide automatic dining recommendations. The research also combines Hadoop platform technology to establish parallel processing for real-time provision of food reviews and recommendation services. The innovation of this study lies in the use of automatic summarization technology and parallel processing to achieve rapid acquisition and recommendation of food information in tourist areas, providing convenient and practical services for tourists. This system has certain application prospects and promotional value in the field of tourist area dining recommendations.
DOI:10.1109/CISAT62382.2024.10695395