考虑用户-发布者关系的个性化微博搜索模型

Personalized Micro-Blog Search Model Considering User-Publisher Relationship

  • 摘要: 提出了一种考虑用户与发布者建模的个性化微博搜索模型,该模型一方面运用主题模型与语言模型构建微博主题维度的用户兴趣模型,另一方面,融合用户与微博发布者的关系特征,构建用户-发布者关系维度的用户兴趣模型。并将二者进行有效融合,设计了将单个用户的微博作为一个文本的训练方法,解决微博文本短、语料稀疏的问题。基于真实用户搜索反馈的实验表明,融合用户-发布者关系的微博搜索模型可有效提高微博搜索的个性化效果。

     

    Abstract: A personalized micro-blog search model is proposed by taking into account the user and publisher's modelling. In this search model, the user interest model of the micro-blog theme dimension is constructed by using the theme model and language model, while the user interest model of the user-publisher relationship dimensions is constructed by integrating the features of user-publisher relationship. These user interest models are further integrated to design a single user's micro-blog as a text of the training methods for solving the problems of short texts and sparse notes of the micro-blog. Experiments based on real users' search feedback show that the proposed micro-blog search model can improve the personalized effect of micro-blog search.

     

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