基于向量空间模型的路径相似度蚁群算法研究

Path Similarity Ant Algorithm Based on Vector Space Model

针对如何根据用户的检索状况来提高信息检索的反应速度及查询的准确性的问题,利用向量空间模型信息检索与路径相似度蚁群算法中利用同一方式——相似度来决定下一步方向的共同特点,提出将一种基于路径相似度的蚁群算法应用于信息检索的方法。采用这种算法在性能和收敛性速度上优于常规算法。

Utilizing Vector Space Model and path information retrieval similarity ant colony algorithm with the same method-similarity to determine the common characteristics of the direction of the next step,this paper is put forward a way of appling in information retrieval based on the similarity ant colony algorithm.The ant colony algorithm in this paper is better than conventional algorithms in performance and the speed of convergence.