Intelligent Web Prefetching Based upon User Profiles The WebNaut Case

摘要

The timely provision of content to the clients strictly according to their interests is one of the key factors for the success and wider acceptance of World Wide Web technologies. Intelligent Assistants, such as WebNaut, belong to a class of innovative technologies proposed for use by the Web. The main objective of these technologies is the retrieval of information that interest the client. WebNaut is able to integrate with a web browser and 'build' user profiles that form the base for Web content selection from keyword search engines or meta-search engines. This ability to recognize users' information interests and to constantly adapt to their changes makes WebNaut and all intelligent agents a potential source of information for supporting prefetching algorithms that can be used by Web Cache applications. In this paper, we examine to what extent intelligent assistants, such as WebNaut, are able to contribute to the reduction of the user - perceived latency. An ideal algorithm is proposed for the WebNaut case and basic conclusions are extracted that are favorable for the utilization of this type of the intelligent agents in prefetching.