Presentation on theme: "Link Prediction and Path Analysis using Markov Chains"— Presentation transcript:
1 Link Prediction and Path Analysis using Markov Chains (R. R. Sarukkai)Presentation by H.Perrin, S.Jaffer, S.Lambert & W.Lewis1
2 Link Prediction & Path Analysis Volume of pages makes efficient WWW navigation difficultAim: To analyse users' navigation history to generate tools that increase navigational efficiencyie. Predictive server prefetchingProvides tools for other work previously done.
3 The Author: Ramesh R. Sarukkai Researches Internet technologiesMember of W3C committeeNow works for Yahoo!
9 HTTP Request Prediction In server or proxyAllows pre-fetching of most likely pages firstConnection latency is minimsedServer efficiency increases
10 Link Suggestion (Adaptive Web Navigation) Link prediction used to offer links to users based on previous navigation historySimilar technique has been applied (ie. Amazon)But not necessarily using Markov ChainsCan be client or server side
11 Tour Generation Given a start URL, user guided along path of links Appropriate to user's interestsSequentially pick the next most popular linkNon-cyclic
12 Hub/Authority Identification Kleinberg proposed Web 'Hub/Authorities'Hub: Web site that is a good starting point for finding identificationAuthority: Web site that contains useful information on a particular topic.Hub/Authority weighting given in Markov transitional weighting
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