现代计算机(普及版)
現代計算機(普及版)
현대계산궤(보급판)
Modern Computer
2015年
9期
36-39
,共4页
热点事件%聚类算法%热度计算%可行性
熱點事件%聚類算法%熱度計算%可行性
열점사건%취류산법%열도계산%가행성
Hot Event%Clustering Algorithms%Heat Calculation%Feasibility
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。
隨著互聯網的迅速髮展,網絡已成為各大媒體髮佈新聞和人們穫取信息的主要渠道。而網絡新聞複雜多樣,併不是每一條新聞都是人們關註的熱點。為瞭快速準確地穫得用戶關註的熱點事件,提齣將三種聚類算法相結閤的話題髮現算法和熱度計算公式,併通過實驗驗證利用上述方法進行熱點髮現的可行性。
수착호련망적신속발전,망락이성위각대매체발포신문화인문획취신식적주요거도。이망락신문복잡다양,병불시매일조신문도시인문관주적열점。위료쾌속준학지획득용호관주적열점사건,제출장삼충취류산법상결합적화제발현산법화열도계산공식,병통과실험험증이용상술방법진행열점발현적가행성。
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.