Automatic resource compilation by analyzing hyperlink structure and associated text
WWW7 Proceedings of the seventh international conference on World Wide Web 7
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
An efficient algorithm to rank Web resources
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
A survey of web caching schemes for the Internet
ACM SIGCOMM Computer Communication Review
Application of Data Mining in Web Pre-Fetching
MSE '00 Proceedings of the 2000 International Conference on Microelectronic Systems Education
Determining WWW User's Next Access and Its Application to Pre-fetching
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
A Prefetching Protocol Using Client Speculation for the WWW
A Prefetching Protocol Using Client Speculation for the WWW
Data Mining Algorithms for Web Pre-Fetching
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
Exploring the bounds of web latency reduction from caching and prefetching
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
World Wide Web caching: trends and techniques
IEEE Communications Magazine
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The WWW Cache technology can store the popular WWW pages in the user’s places through which the browsers can speed up fetching these pages. The information in the WWW Cache shows the users’ recent interest. The users’ interest can be widely used: for example, to customize the WWW pages, to filter the information, to pre-fetch the information and so on. How to use the information in the WWW Cache effectively lies in how to build an adaptive user interest model and how to construct an adaptive algorithm for interest mining. The interest is really a fuzzy concept, but the granularity in simple interest model is too small to describe users’ interest appropriately. Based on the analysis of the WWW Cache model, we bring forward a rough-set-based describing method for users’ fuzzy interest. With this method, the web page and the set of web pages in the WWW cache can be modeled conformably, and the historical interest and the interest matching can be easily used.