摘要：

现有近似邻居集选取方法存在分类较粗、标签缺失等问题,在移动服务方面无法取得较好的效果。为此,提出一种有效的近似邻居集选取方法。通过改进短文本相似度计算方法,基于服务介绍内容,求出移动服务之间的相似度,根据服务相似度,改进用户相似度计算方法,得到用户之间非对称的有向相似度,给出分步筛选法,解决由于冷启动等原因引起的目标用户近似邻居集数量庞大的问题。实验结果表明,该方法的准确率高于关键词重叠法和余弦法。

关键词: 移动服务推荐, 邻居筛选, 短文本相似度, 近似邻居, AP聚类

Abstract:

Because of rough classification and missing tags,the existing methods can’t be directly applied to the similar neighbors selection of the mobile users.In order to solve this problem,an efficient similarneighbors selection method for mobile user is proposed.Animproved short text calculation method is based on the mobile services introduction text to find the similarity,thenthe service similarity is incorporated into the method of mobile user similarity calculation,and the unsymmetrical and directed similarity between users is obtained.At last a step screening method is given to solve the problem of the large number of similar neighbors of the target mobile users.Experimental results show that the overall accuracy of the this method is higher than that of the common keyword overlapping method and cosine similarity method.

Key words: mobile service recommendation, neighbor screening, short text similarity, approximate neighbor, AP clustering

中图分类号: 

• TP311