Cargando…
Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order
One of the most frequently used models for understanding human navigation on the Web is the Markov chain model, where Web pages are represented as states and hyperlinks as probabilities of navigating from one page to another. Predominantly, human navigation on the Web has been thought to satisfy the...
Autores principales: | Singer, Philipp, Helic, Denis, Taraghi, Behnam, Strohmaier, Markus |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4094564/ https://www.ncbi.nlm.nih.gov/pubmed/25013937 http://dx.doi.org/10.1371/journal.pone.0102070 |
Ejemplares similares
-
Correction: Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order
Publicado: (2014) -
How the structure of Wikipedia articles influences user navigation
por: Lamprecht, Daniel, et al.
Publicado: (2017) -
A method for evaluating discoverability and navigability of recommendation algorithms
por: Lamprecht, Daniel, et al.
Publicado: (2017) -
Markov processes and controlled Markov chains
por: Hou, Zhenting, et al.
Publicado: (2002) -
Markov chains
por: Douc, Randal, et al.
Publicado: (2018)