Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
How people revisit web pages: empirical findings and implications for the design of history systems
International Journal of Human-Computer Studies - Special issue: World Wide Web usability
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Foundations of statistical natural language processing
Foundations of statistical natural language processing
IEEE Transactions on Knowledge and Data Engineering
Proxy Cache Algorithms: Design, Implementation, and Performance
IEEE Transactions on Knowledge and Data Engineering
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Characteristics of WWW Client-based Traces
Characteristics of WWW Client-based Traces
The design and evaluation of web prefetching and caching techniques
The design and evaluation of web prefetching and caching techniques
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
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In this paper a client-side algorithm that learns and predicts user requests is presented. The proposed approach is based on a user behavior profile. The profile is based on textual information extracted from visited web pages. The novelty of the paper is in the use of a part-of-speech tagger to filter the useful user-keywords. The keywords comprising the profile are employed by a transparent and speculative link weighting mechanism. The generated weights are used in estimating future web traversing. Afterwards some linked web pages are prefetched and stored locally in the browser's cache. A comparison between the proposed algorithms and four other client-side algorithms yield improved cache-hit rates given a moderate bandwidth overhead.