摘要
随着人们对机器智能化的要求越来越高,模式识别正不断发展、应用于各种复杂的信息处理环境,其所支撑起来的人工智能已成为计算机研究的重要领域。本文针对二手车交易平台,采用分级特征值和多次匹配方法,设计了基于分级特征值的相似物品筛选算法,解决了语义相近的相似记录筛选问题。
Along with the people to the machine intelligence request more and more high, Pattern recognition is constantly developing and applied to all kinds of complex information processing environment. Artificial intelligence based on pattern recognition has become an important field of computer research. In this paper, We used the feature of second-hand car and multiple matching method,and designed a method based on Rank feature value to selection for similar items.It solved the problem of similar record filtering.
出处
《湖南城市学院学报(自然科学版)》
CAS
2016年第2期107-108,共2页
Journal of Hunan City University:Natural Science
基金
2016安徽高校自然科学研究重点项目"基于Android的C2C交易平台关键技术研究"
2015安徽高校自然科学研究重点项目"基于分级特征值算法的重复信息过滤研究"(项目编号:KJ2015A419)