一种基于动机倾向的标签推荐方法

Approach for tag recommendation based on orientation of motivation

为了能够推荐符合用户信息需求的标签,在深入分析社会标签空间和传统标签推荐方法的基础上,提出了度量用户和资源的动机倾向性的五种指标,并对其测度有效性进行了验证。基于此指标体系,建立了动机倾向性判别模型,并设计了推荐算法。实验结果表明,基于动机倾向的推荐算法比当前主流推荐算法具有更加准确的推荐结果。

In order to recommend tags meeting the demand of social taggers,after deeply analyzing social tag spaces and previous recommendation methods,this paper used five indices to measure the users＇ and resources＇ motivation.After validating the five metric indices,it proposed an orientation of motivation discrimination model（OMDM）,and designed an algorithm to recommend tags based on the model.Experimental results show,that the proposed method can provide more accurate candidate tags than current mainstream methods.