中图分类号：TP391 文献标志码：A DOI: 10.16157/j.issn.0258-7998.233743 中文引用格式： 帅训波，石文昌，冯梅，等. 面向用户体验增强的信息检索评估模型研究[J]. 电子技术应用，2023，49(8)：88-92. 英文引用格式： Shuai Xunbo，Shi Wenchang，Feng Mei，et al. Research on an information retrieval evaluation model for user experience enhancement[J]. Application of Electronic Technique，2023，49(8)：88-92.
Research on an information retrieval evaluation model for user experience enhancement
(1.Center of Information Technology， PetroChina Research Institute of Petroleum Exploration and Development， Beijing 100083， China； 2.School of Information， Renmin University of China， Beijing 100872， China)
Abstract： How to accurately provide high-quality information to users is the critical issue for information retrieval system, which are intended to effectively improve user application experience. Based on the progress of related research at home and abroad, a dynamic evaluation model towards information retrieval system is proposed from dynamic evaluation mechanism of optimal matching between information resource and user requirement. As the main function modules in the dynamic evaluation model, information quality evaluation method, user expectation evaluation method, situation dynamic evaluation method and user experience assessment method are designed in details, and how to determine the weight of each functional module is optimized by genetic algorithm. The simulation results show that the dynamic evaluation model has good “robustness”, which can not only filter the information that does not meet the needs of users, but also effectively present high-quality information to users who need it, and it will significantly improve user application experience of information retrieval.
Key words : information retrieval；information quality evaluation；user expectation evaluation；situational dynamic evaluation；user experience assessment