
05970777
a
2011f.00728
Humenberger, Hans
Google's PageRank: A presentday application of mathematics in the classroom.
Kaiser, G. (ed.) et al., Trends in teaching and learning of mathematical modelling. Proceedings of the 14th international conference on the teaching of mathematical modelling and applications, ICTMA, Hamburg, Germany, July 2731, 2009. Berlin: Springer (ISBN 9789400709096/hbk; 9789400709102/ebook). International Perspectives on the Teaching and Learning of Mathematical Modelling 1, 579589 (2011).
2011
Berlin: Springer
EN
M50
R50
information retrieval
ranking
internet
mathematical applications
Markov chains
transition matrices
doi:10.1007/9789400709102_56
Summary: Very many people use internet search engines like Google nearly every day, in most cases more than once a day. Here the following question arises: How does Google come to a ranked list, how does Google know which site is an important one and should be placed at the top of the list? It turns out that this question can be dealt with at a very elementary level. Here we show a possible way.