一种Web 2.0环境下互联网热点挖掘算法
doi: 10.3724/SP.J.1146.2009.00641
Mining Hot Topics on Internet under Web 2.0
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摘要: 利用Web 2.0下用户丰富的反馈信息进行互联网热点挖掘具有重要的应用价值。该文将Web 2.0 下用户在互联网上的信息活动看作为热度活动，并利用热量传递模型对其建模，然后基于该模型提出适用于Web 2.0环境下的话题抽取与热度评价算法。实验结果表明热量传递算法有效地利用了用户反馈信息，适用于Web 2.0下互联网环境。Abstract: It is a valuable task of mining hot topics on Internet utilizing users feedback under Web 2.0 environment. Motivated by heat diffusion phenomena, the information activities on the Internet are treated as heat flow, and heat diffusion model is used to simulate these acitivities. Based on heat diffusion model, a novel topic detection and ranking algorithm is proposed. The experiment results demonstrate that the algorithm works well under Web 2.0 environment.
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