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EUROIMSA
2006

Behavior Modeling using Bigram Frequencies for Client-Side Link Prefetching

10 years 5 months ago
Behavior Modeling using Bigram Frequencies for Client-Side Link Prefetching
The perceived latency for a user surfing the Internet is the target of a transparent and speculative algorithm that relies on a user behavior model. The model is based on past user behavior and in combination with a weighting scheme for the outbound links of a particular web page, aims at reducing the perceived latencies. The assistance is in the form of prefetching some linked web pages and storing them in the browser's cache. A comparison between the proposed algorithms against two other prefetching algorithms yield improved cachehit rates given a moderate bandwidth overhead. Furthermore, the experimental results are proven to be statistically significant. KEY WORDS Pre-fetching, user behaviour modelling, bigrams
Apostolos Georgakis, Haibo Li, Mihaela Gordan
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2006
Where EUROIMSA
Authors Apostolos Georgakis, Haibo Li, Mihaela Gordan
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