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基于聚类的网络新闻热点发现研究

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随着互联网的迅速发展,网络已成为各大媒体发布新闻和人们获取信息的主要渠道。而网络新闻复杂多样,并不是每一条新闻都是人们关注的热点。为了快速准确地获得用户关注的热点事件,提出将三种聚类算法相结合的话题发现算法和热度计算公式,并通过实验验证利用上述方法进行热点发现的可行性。
Research on Network News Hot Discovery Based on the Clustering
With the rapid development of the Internet, the network has become the main channel for media to release news and the people to obtain information. However, the network news is complex and diverse, not every piece of news is the focus of attention. In order to quickly and accurately obtain hot events that users concerned, presents a topic detection algorithm which combines three kinds of clustering algo-rithms and a heat calculation formula. And through the experiment, we verify the feasibility of using the above methods for hot found.

Hot EventClustering AlgorithmsHeat CalculationFeasibility

万晓霞、赵佳

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西华大学计算机与软件工程学院,成都 610039

热点事件 聚类算法 热度计算 可行性

2015

现代计算机(普及版)
中山大学

现代计算机(普及版)

影响因子:0.202
ISSN:1007-1423
年,卷(期):2015.(9)
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