Matches in SemOpenAlex for { <https://semopenalex.org/work/W1971113501> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W1971113501 endingPage "386" @default.
- W1971113501 startingPage "377" @default.
- W1971113501 abstract "The enormous growth in the number of documents in the World Wide Web increases the need for improved link navigation and path analysis models. Link prediction and path analysis are important problems with a wide range of applications ranging from personalization to Web server request prediction. The sheer size of the World Wide Web coupled with the variation in users' navigation patterns makes this a very difficult sequence modelling problem. In this paper, the notion of probabilistic link prediction and path analysis using Markov chains is proposed and evaluated. Markov chains allow the system to dynamically model the URL access patterns that are observed in navigation logs based on the previous state. Furthermore, the Markov chain model can also be used in a generative mode to automatically obtain tours. The Markov transition matrix can be analysed further using eigenvector decomposition to obtain `personalized hubs/authorities'. The utility of the Markov chain approach is demonstrated in many domains: HTTP request prediction, system-driven adaptive Web navigation, tour generation, and detection of `personalized hubs/authorities' from user navigation profiles. The generality and power of Markov chains is a first step towards the application of powerful probabilistic models to Web path analysis and link prediction." @default.
- W1971113501 created "2016-06-24" @default.
- W1971113501 creator A5033069206 @default.
- W1971113501 date "2000-06-01" @default.
- W1971113501 modified "2023-10-18" @default.
- W1971113501 title "Link prediction and path analysis using Markov chains" @default.
- W1971113501 cites W1659541576 @default.
- W1971113501 cites W1969221862 @default.
- W1971113501 cites W2020416126 @default.
- W1971113501 cites W2020423193 @default.
- W1971113501 cites W2060773731 @default.
- W1971113501 cites W2149026164 @default.
- W1971113501 doi "https://doi.org/10.1016/s1389-1286(00)00044-x" @default.
- W1971113501 hasPublicationYear "2000" @default.
- W1971113501 type Work @default.
- W1971113501 sameAs 1971113501 @default.
- W1971113501 citedByCount "432" @default.
- W1971113501 countsByYear W19711135012012 @default.
- W1971113501 countsByYear W19711135012013 @default.
- W1971113501 countsByYear W19711135012014 @default.
- W1971113501 countsByYear W19711135012015 @default.
- W1971113501 countsByYear W19711135012016 @default.
- W1971113501 countsByYear W19711135012017 @default.
- W1971113501 countsByYear W19711135012018 @default.
- W1971113501 countsByYear W19711135012019 @default.
- W1971113501 countsByYear W19711135012020 @default.
- W1971113501 countsByYear W19711135012021 @default.
- W1971113501 countsByYear W19711135012022 @default.
- W1971113501 countsByYear W19711135012023 @default.
- W1971113501 crossrefType "journal-article" @default.
- W1971113501 hasAuthorship W1971113501A5033069206 @default.
- W1971113501 hasConcept C119857082 @default.
- W1971113501 hasConcept C124101348 @default.
- W1971113501 hasConcept C136764020 @default.
- W1971113501 hasConcept C154945302 @default.
- W1971113501 hasConcept C163836022 @default.
- W1971113501 hasConcept C183003079 @default.
- W1971113501 hasConcept C2777735758 @default.
- W1971113501 hasConcept C31258907 @default.
- W1971113501 hasConcept C35578498 @default.
- W1971113501 hasConcept C41008148 @default.
- W1971113501 hasConcept C49937458 @default.
- W1971113501 hasConcept C61096286 @default.
- W1971113501 hasConcept C98763669 @default.
- W1971113501 hasConceptScore W1971113501C119857082 @default.
- W1971113501 hasConceptScore W1971113501C124101348 @default.
- W1971113501 hasConceptScore W1971113501C136764020 @default.
- W1971113501 hasConceptScore W1971113501C154945302 @default.
- W1971113501 hasConceptScore W1971113501C163836022 @default.
- W1971113501 hasConceptScore W1971113501C183003079 @default.
- W1971113501 hasConceptScore W1971113501C2777735758 @default.
- W1971113501 hasConceptScore W1971113501C31258907 @default.
- W1971113501 hasConceptScore W1971113501C35578498 @default.
- W1971113501 hasConceptScore W1971113501C41008148 @default.
- W1971113501 hasConceptScore W1971113501C49937458 @default.
- W1971113501 hasConceptScore W1971113501C61096286 @default.
- W1971113501 hasConceptScore W1971113501C98763669 @default.
- W1971113501 hasIssue "1-6" @default.
- W1971113501 hasLocation W19711135011 @default.
- W1971113501 hasOpenAccess W1971113501 @default.
- W1971113501 hasPrimaryLocation W19711135011 @default.
- W1971113501 hasRelatedWork W1971113501 @default.
- W1971113501 hasRelatedWork W2117053435 @default.
- W1971113501 hasRelatedWork W2140004670 @default.
- W1971113501 hasRelatedWork W2389529561 @default.
- W1971113501 hasRelatedWork W2767534657 @default.
- W1971113501 hasRelatedWork W2907743393 @default.
- W1971113501 hasRelatedWork W2946095525 @default.
- W1971113501 hasRelatedWork W2950482443 @default.
- W1971113501 hasRelatedWork W830459867 @default.
- W1971113501 hasRelatedWork W98770419 @default.
- W1971113501 hasVolume "33" @default.
- W1971113501 isParatext "false" @default.
- W1971113501 isRetracted "false" @default.
- W1971113501 magId "1971113501" @default.
- W1971113501 workType "article" @default.