摘要
互联网的一个重要性质是网络中的网页信息随时发生着更新。在Web信息迅速增长的今天,网页更新的预测和确定成为了一个备受关注的课题。介绍了作为网页更新预测模型的泊松模型,并根据该模型的各种缺陷分析对网页更新预测算法的现状进行了阐述,同时对未来的研究方向进行了展望。
a very important property of Internet is that the webpage is changing all the time, how to detect and predict the change is now very important. In this paper, we discuss the Poisson process and analyze development situation of the prediction about the change of the pages. The future directions and some researching problems are also addressed.
出处
《软件导刊》
2013年第4期57-59,共3页
Software Guide
关键词
POISSON过程
网页更新预测算法
增量采集
The Change of Web Page
Poisson Model
Web Changing Prediction
Incremental Crawler