标签推荐方法研究综述

随着互联网信息的爆炸式增长,标签(由用户指定用来描述项目的关键词)在互联网信息检索领域中变得越来越重要.为在线内容赋予合适的标签,有利于更高效的内容组织和内容消费.而标签推荐通过辅助用户进行打标签的操作,极大地提升了标签的质量,标签推荐也因此受到了研究者们的广泛关注.总结出标签推荐任务的三大特性,即项目内容的多样性、标...

Survey of Tag Recommendation Methods

With the explosive growth of Internet information, tags (keywords specified by users to describe the item) become more and more important in the field of Internet information retrieval. Giving appropriate tags to online content is conducive to more efficient content organization and content consumption. Tag recommendation greatly improves the quality of tags by assisting users to tag. Therefore, tag recommendation has been widely concerned by researchers. In this paper, we summarize the three characteristics of tag recommendation task, that is, the diversity of item content, the correlation between tags and the difference of user preferences. According to these three characteristics, we divide tag recommendation methods into three categories:content-based method, tag relevance based method and user preference based method. After that, we sort out and analyze the corresponding methods under these three categories. Finally, we present the main challenges in the field of tag recommendation, such as the long tail problem of tags, the dynamics of user preferences and the fusion of multimodal information and make a prospect of future research.