Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order

@article{Singer2014DetectingMA,
  title={Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order},
  author={P. Singer and D. Helic and Behnam Taraghi and M. Strohmaier},
  journal={PLoS ONE},
  year={2014},
  volume={9}
}
  • P. Singer, D. Helic, +1 author M. Strohmaier
  • Published 2014
  • Computer Science, Physics, Medicine
  • PLoS ONE
  • 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 memoryless Markov property stating that the next page a user visits only depends on her current page and not on previously visited ones. This idea has found its way in numerous applications such as… CONTINUE READING
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