一种混合特征阈值抽取的互联网旅游资源检索算法

An Algorithm for Retrieving Internet Tourism Resources Based on Mixed Feature Threshold

针对传统的检索算法在互联网旅游资源检索中精确度不高的问题,本文提出了一种混合特征阈值抽取的互联网旅游资源检索算法。首先使用LLSF、kNN、Im-Rocchio算法计算个人特征矩阵,利用混合特征阈值抽取匹配策略提高检索的准确性,并在Rocchio算法的基础上进行算法优化,实现混合特征阈值抽取的类别匹配,最后采用PageRank搜索排序算法对匹配的结果进行排序,输出检索结果。实例仿真结果表明,通过本文提出的改进策略,大大提高了旅游资源检索的精确度。

Aiming at the problem that the traditional retrieval algorithm is not accurate in the retrieval of Internet tourism resources,this paper proposes an algorithm of Internet tourism resource retrieval with mixed feature threshold extraction.Firstly,the LLSF,kNN and Im-Rocchio algorithms are used to calculate the individual feature matrix,and the matching strategy is used to improve the accuracy of the retrieval.The algorithm is optimized on the basis of the Rocchio algorithm to achieve the matching of the mixed feature thresholds.Finally,The PageRank search sorting algorithm sorts the matching results and outputs the search results.The simulation results show that the improvement strategy of tourism resources is greatly improved by the improvement strategy proposed in this paper.