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Pre-fetching web pages through data mining based prediction.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Weiyuan Song, Weijuan Yang, Hongji |
| Copyright Year | 2002 |
| Abstract | The speed of fetching web pages to users is getting lower because the rapid expansion of Internet use, the inherited character of delay in the network and the Request/Response working mode of WWW, and this is becoming a serious concern for web surfers. In order to speed up fetching web pages, this paper presents an intelligent technique of web pre-fetching. We use a simplified WWW data model to represent the data in the cache of web browser to mine the association rules. We store these rules in a knowledge base so as to predict the user’s actions. Intelligent agents are responsible for mining the users’ interest and pre-fetching web pages, based on the interest association repository. In this way, browsing time has been reduced transparently. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.researchgate.net/profile/William_Song6/publication/30049816_Pre-fetching_web_pages_through_data_mining_based_prediction/links/54d1319f0cf25ba0f040d1f6.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
