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題名 Prediction of Web Page Accesses by Proxy Server Log
作者 陳良弼
Wu,Yi-Hung;Chen,Arbee L. P.
貢獻者 資科系
關鍵詞 WWW; data mining; user behavior; prediction; suffix tree; proxy server log
日期 2002
上傳時間 21-八月-2014 14:54:17 (UTC+8)
摘要 As the population of web users grows, the variety of user behaviors on accessing information also grows, which has a great impact on the network utilization. Recently, many efforts have been made to analyze user behaviors on the WWW. In this paper, we represent user behaviors by sequences of consecutive web page accesses, derived from the access log of a proxy server. Moreover, the frequent sequences are discovered and organized as an index. Based on the index, we propose a scheme for predicting user requests and a proxy-based framework for prefetching web pages. We perform experiments on real data. The results show that our approach makes the predictions with a high degree of accuracy with little overhead. In the experiments, the best hit ratio of the prediction achieves 75.69%, while the longest time to make a prediction only requires 2.3 ms.
關聯 World Wide Web,5(1),67-88
資料類型 article
dc.contributor 資科系en_US
dc.creator (作者) 陳良弼zh_TW
dc.creator (作者) Wu,Yi-Hung;Chen,Arbee L. P.en_US
dc.date (日期) 2002en_US
dc.date.accessioned 21-八月-2014 14:54:17 (UTC+8)-
dc.date.available 21-八月-2014 14:54:17 (UTC+8)-
dc.date.issued (上傳時間) 21-八月-2014 14:54:17 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/69132-
dc.description.abstract (摘要) As the population of web users grows, the variety of user behaviors on accessing information also grows, which has a great impact on the network utilization. Recently, many efforts have been made to analyze user behaviors on the WWW. In this paper, we represent user behaviors by sequences of consecutive web page accesses, derived from the access log of a proxy server. Moreover, the frequent sequences are discovered and organized as an index. Based on the index, we propose a scheme for predicting user requests and a proxy-based framework for prefetching web pages. We perform experiments on real data. The results show that our approach makes the predictions with a high degree of accuracy with little overhead. In the experiments, the best hit ratio of the prediction achieves 75.69%, while the longest time to make a prediction only requires 2.3 ms.en_US
dc.format.extent 450389 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) World Wide Web,5(1),67-88en_US
dc.subject (關鍵詞) WWW; data mining; user behavior; prediction; suffix tree; proxy server logen_US
dc.title (題名) Prediction of Web Page Accesses by Proxy Server Logen_US
dc.type (資料類型) articleen