A Method for Microblog Search by Adjusting the Language Model with Time

Song Li, Hui Ning, Zhong-yuan Han, Haoliang Qi
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引用次数: 2

Abstract

Time is a good scale for a microblog search. The traditional retrieval model only uses content to query microblog information. Many studies thought that the relevant microblogs most likely appear when it is close to the instant time of query. Through an analysis of microblog data, people find that the relevant information in microblogs possibly appears when it is far from the query time. These two opinions are conflict each other. Therefore, in this paper we report a modified language model which can be used to adjust time difference with appropriate weights. This way the order of the microblogs can be readjusted. The experimental results on microblog show the model works well.
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一种随时间调整语言模型的微博搜索方法
时间是微博搜索的一个很好的尺度。传统的检索模型仅使用内容来查询微博信息。许多研究认为,相关微博最可能出现在接近查询的瞬间。通过对微博数据的分析,人们发现微博中的相关信息可能是在离查询时间很远的时候出现的。这两种观点是相互冲突的。因此,本文提出了一种改进的语言模型,该模型可以通过适当的权重来调整时差。这样,微博的顺序就可以重新调整。微博上的实验结果表明,该模型运行良好。
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