基于Vague相似性的藏文文本推荐方法

Study on Tibetan Text Recommendation Method based on the Vague Similarity

随着数字信息技术的发展,藏文在移动终端和互联网中得到广泛的应用。文章收集了豆瓣网上的藏文书籍,利用藏文内容属性特征按重要性对书籍进行排序,再对特征排序进行模糊隶属度转换,并对模糊隶属度进行Vague函数值转换,求出藏文内容的Vague相似性;在相似性基础上利用推荐值和推荐度对待推荐藏文文本内容进行了推荐排序。经过实验验证文章提出的算法对藏文文本内容推荐效果较好。

With the development of the mobile internet,Tibetan is widely used in mobile terminals and on the In⁃ternet.In order to quickly find out suitable Tibetan text,recommendation technology is indispensable.In this pa⁃per,a new method for Tibetan text recommendation is proposed.In this method,firstly,the attribute features of Tibetan text were sorted according to their importance.Secondly,the fuzzy membership degree transformed from the feature rank was converted into vague function value.And then the vague similarity of Tibetan text was calcu⁃lated.Lastly,according to the similarity,the recommended Tibetan text was found using the recommended value and recommended degree.Our experimental results indicate that the proposed algorithm is valid for Tibetan text recommendation.