Personalized information delivery: an analysis of information filtering methods
Communications of the ACM - Special issue on information filtering
Communications of the ACM
Information Retrieval on the World Wide Web
IEEE Internet Computing
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
History based user interest modeling in www access
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Expert Systems with Applications: An International Journal
User’s rough set based fuzzy interest model in mining WWW cache
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
A new algorithm to discover page-action rules on web
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
A multi-agent recommender system for supporting device adaptivity in e-Commerce
Journal of Intelligent Information Systems
| Hi-index | 0.00 |
To speed up fetching web pages, this paper gives an intelligent technology 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 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, user-browsing time has been reduced transparently.