属性识别模型在搜索引擎综合评价中的应用研究  

Research on the application of attribute recognition model in comprehensive evaluation of search engine

作　　者：胡起靖 HU Qijing(Suzhou Library,Suzhou,Jiangsu,China 215002)

机构地区：[1]苏州图书馆,江苏苏州215002

出　　处：《深圳信息职业技术学院学报》2023年第5期23-31,共9页Journal of Shenzhen Institute of Information Technology

摘　　要：综合评价方法在实现搜索引擎的系统性评估方面有突出作用,评估研究结果能为用户选用搜索引擎提供科学、直观的参考依据。将属性识别模型引入搜索引擎综合评价中,分别用于计量指标数据和用户体验反馈信息的实证研究。结果表明,该模型应用兼容性强,评价结果与其他方法比较得到了一致性验证,能够为当前的搜索引擎评价提供新的方法借鉴和参考。随着大数据、计算机算法、人工智能等现代技术的深度融合和深化应用,该模型为搜索引擎评价中的大众化应用创造了有利条件。The comprehensive evaluation method plays a prominent role in realizing the systematic evaluation of search engines,and the evaluation results can provide scientific and intuitive reference for users to choose search engines.The attribute recognition model is introduced into the comprehensive evaluation of search engine,which is used for the empirical research of measurement index data and user experience feedback information respectively.The results show that the model has strong application compatibility,and the evaluation results are consistent with other methods,which can provide a new method reference for the current search engine evaluation.With the deep integration and deepening application of modern technologies such as big data,computer algorithms,and artificial intelligence,the model has created favorable conditions for the popular application of search engine evaluation.

关 键 词：属性识别模型 搜索引擎 综合评价 适用性 应用前景 

分 类 号：G124[文化科学] G712