Catalogue personolization using distributed learning automata and Markov chain probability model

The huge amount of information of the web has caused problems for selecting their item. The only solution for this problem is to score the items and then sorting them according to their ranks. we filtered them in a catalogue and perform our tests with the different sizes of catalogues.